Meeting Title: Awaish 1:1 Caio Date: 2025-05-20 Meeting participants: Awaish Kumar, Caio Velasco
WEBVTT
1 00:01:12.720 ⇒ 00:01:13.600 Caio Velasco: Hi! I wish.
2 00:01:20.650 ⇒ 00:01:21.290 Awaish Kumar: Hello!
3 00:01:22.850 ⇒ 00:01:27.340 Caio Velasco: Oh, good! Good!
4 00:01:28.550 ⇒ 00:01:29.880 Caio Velasco: All good! How are you?
5 00:01:30.720 ⇒ 00:01:32.509 Awaish Kumar: Me. Good. Okay.
6 00:01:32.680 ⇒ 00:01:35.080 Awaish Kumar: Been your week so far.
7 00:01:36.646 ⇒ 00:01:37.710 Caio Velasco: So far so good.
8 00:01:38.940 ⇒ 00:01:46.279 Caio Velasco: This week I have an important exam in Spain. So my head is a bit focused
9 00:01:46.450 ⇒ 00:01:51.050 Caio Velasco: on that because I have to pass. Otherwise I cannot apply.
10 00:01:51.530 ⇒ 00:01:53.709 Caio Velasco: But I think gonna be okay. So
11 00:01:53.880 ⇒ 00:01:55.859 Caio Velasco: yeah, so that’s why I have the days off.
12 00:01:56.970 ⇒ 00:02:00.929 Awaish Kumar: Is it for immigration like the nationality thing? Okay.
13 00:02:01.410 ⇒ 00:02:05.739 Caio Velasco: Yeah, yeah, I have to have a certain level, which is okay.
14 00:02:06.838 ⇒ 00:02:09.070 Caio Velasco: But it’s like, always a bit of a pressure.
15 00:02:10.777 ⇒ 00:02:15.769 Awaish Kumar: And what about meeting journalists.
16 00:02:18.170 ⇒ 00:02:23.609 Caio Velasco: What about what Lorry like in general? What about life? Like everything going well?
17 00:02:24.650 ⇒ 00:02:27.254 Caio Velasco: So yeah, no. Everything going to going well.
18 00:02:28.660 ⇒ 00:02:33.080 Caio Velasco: here? Well for the weather much better. So for me.
19 00:02:33.260 ⇒ 00:02:33.840 Caio Velasco: Like
20 00:02:33.840 ⇒ 00:02:39.560 Caio Velasco: gets much, much better when the weather is sunny and a bit more warm. So that’s a big plus
21 00:02:41.530 ⇒ 00:02:43.150 Caio Velasco: what else?
22 00:02:44.490 ⇒ 00:02:50.952 Caio Velasco: I I always do sports, so I can also do more sports when the weather is better. So I think it’s
23 00:02:52.190 ⇒ 00:02:54.040 Caio Velasco: one thing pushes the other.
24 00:02:55.285 ⇒ 00:03:08.389 Caio Velasco: Yeah, they’ve been good work, as I mentioned, nothing much different than last week, so more like expectation for urban stems and something else. But in general.
25 00:03:08.390 ⇒ 00:03:09.080 Awaish Kumar: Hold on.
26 00:03:09.390 ⇒ 00:03:12.560 Awaish Kumar: When did you start it on urbanist times.
27 00:03:13.870 ⇒ 00:03:14.340 Caio Velasco: Bar.
28 00:03:14.340 ⇒ 00:03:15.489 Awaish Kumar: What you need, anything.
29 00:03:15.910 ⇒ 00:03:28.360 Caio Velasco: No, I I messaged Amber, and she said that she would add me to some channels and send me some documents, but I don’t think so far she has yet maybe she will do today because of the the difference of time.
30 00:03:31.183 ⇒ 00:03:39.420 Awaish Kumar: Okay like, they expect you to work like 20 h, maybe on open stems.
31 00:03:39.620 ⇒ 00:03:41.490 Awaish Kumar: So let’s see how it goes.
32 00:03:42.200 ⇒ 00:03:44.690 Caio Velasco: Okay, okay, that’s.
33 00:03:44.690 ⇒ 00:03:45.749 Awaish Kumar: I don’t know.
34 00:03:46.460 ⇒ 00:03:52.210 Awaish Kumar: And the other time, like you can spend on the data platform.
35 00:03:53.700 ⇒ 00:03:54.290 Caio Velasco: Okay. Cool.
36 00:03:54.500 ⇒ 00:03:57.859 Awaish Kumar: And then I don’t know how much you are
37 00:03:58.230 ⇒ 00:04:02.060 Awaish Kumar: you you? What is your availability like now?
38 00:04:02.670 ⇒ 00:04:06.019 Awaish Kumar: Are you available 40 h 30 h like, how do.
39 00:04:06.020 ⇒ 00:04:14.189 Caio Velasco: Yeah, no? Well, from next week I would be able to be available full time almost full time.
40 00:04:14.300 ⇒ 00:04:16.959 Caio Velasco: so I think I can manage both easily.
41 00:04:17.339 ⇒ 00:04:22.029 Caio Velasco: The only thing that is always gonna be a situation. It’s understanding.
42 00:04:22.750 ⇒ 00:04:30.589 Caio Velasco: If there is any stability behind the, for example, auburn stems that for like one month, 3 months, 6 months.
43 00:04:30.780 ⇒ 00:04:34.029 Caio Velasco: so that I can at least have an idea of the future.
44 00:04:34.501 ⇒ 00:04:36.670 Caio Velasco: But other than that, I’m available.
45 00:04:39.940 ⇒ 00:04:41.920 Awaish Kumar: Yeah, correct.
46 00:04:42.910 ⇒ 00:04:45.279 Awaish Kumar: Okay, yeah. But like, we are
47 00:04:46.430 ⇒ 00:04:48.919 Awaish Kumar: pushing for other clients as well. So.
48 00:04:50.790 ⇒ 00:04:55.840 Caio Velasco: Yeah, yeah, no. For now I think it’s okay. I can. I can manage the
49 00:04:56.910 ⇒ 00:05:00.089 Caio Velasco: the risk right? And the
50 00:05:00.680 ⇒ 00:05:08.440 Caio Velasco: ups and not ups and ups and down in the demand of work. Let’s say, for now it’s okay. But future future. Then I don’t know.
51 00:05:10.110 ⇒ 00:05:10.850 Caio Velasco: Yeah, we have to.
52 00:05:10.850 ⇒ 00:05:12.220 Caio Velasco: Yeah, I.
53 00:05:12.400 ⇒ 00:05:17.860 Awaish Kumar: Obviously right now, and you are looking for some something. And
54 00:05:18.020 ⇒ 00:05:20.800 Awaish Kumar: brain food is is good for
55 00:05:21.120 ⇒ 00:05:25.139 Awaish Kumar: fear situation. But I want to understand, like, how?
56 00:05:25.900 ⇒ 00:05:29.250 Awaish Kumar: What will make you to stay here like
57 00:05:29.905 ⇒ 00:05:33.280 Awaish Kumar: like you got nationality, maybe in a few months
58 00:05:34.205 ⇒ 00:05:37.870 Awaish Kumar: maybe. Then after that you will be able to work and spend
59 00:05:38.790 ⇒ 00:05:40.710 Awaish Kumar: and find other jobs as well.
60 00:05:40.920 ⇒ 00:05:41.630 Awaish Kumar: So.
61 00:05:41.630 ⇒ 00:05:42.130 Caio Velasco: Yeah, yeah.
62 00:05:43.200 ⇒ 00:05:49.899 Awaish Kumar: Like. What would be your interest in in staying in Brain Forge rather than searching for another job.
63 00:05:50.850 ⇒ 00:06:05.760 Caio Velasco: No, exactly. That’s a good question. So for the nationality, I think we we have more than one year still, because the passport takes a year or more, so I think we still have long term for how tech is nowadays.
64 00:06:07.159 ⇒ 00:06:09.409 Caio Velasco: But for me to stay
65 00:06:10.010 ⇒ 00:06:14.529 Caio Velasco: So I think now I would be really interested, as I mentioned, to
66 00:06:14.990 ⇒ 00:06:22.350 Caio Velasco: do technical things. So for example, if I’m learning ingestion nice if I’m learning modeling nice if I’m learning
67 00:06:22.770 ⇒ 00:06:35.720 Caio Velasco: whatever new, nice tool. Good. If I’m learning data, visualization. Good. I like to have big picture of everything. So it depends on the demand. If Brainforge can give me that
68 00:06:35.920 ⇒ 00:06:39.679 Caio Velasco: every once in a while I think it would be.
69 00:06:39.680 ⇒ 00:06:40.450 Awaish Kumar: Got it.
70 00:06:40.980 ⇒ 00:06:44.599 Caio Velasco: You know, like to be in your position one day. Like to really know how things work.
71 00:06:46.700 ⇒ 00:06:52.170 Awaish Kumar: Just like right now, you understand, like.
72 00:06:52.500 ⇒ 00:06:58.920 Awaish Kumar: you want to understand the full pipeline which I get it. But the like, where
73 00:07:00.025 ⇒ 00:07:02.650 Awaish Kumar: we want to be focused on, because
74 00:07:03.730 ⇒ 00:07:07.999 Awaish Kumar: normally in companies, even if you join any companies
75 00:07:09.870 ⇒ 00:07:17.680 Awaish Kumar: like like the jobs are kind of split. Like, if you you choose data analyst job. It’s it’s different.
76 00:07:17.790 ⇒ 00:07:20.640 Awaish Kumar: Here you might get an opportunity because we have
77 00:07:20.860 ⇒ 00:07:28.000 Awaish Kumar: different clients and different things. And you can work on building dashboards and things like that.
78 00:07:28.560 ⇒ 00:07:35.120 Awaish Kumar: But it’s normally like what track you want to be like. If you work on a more on a engineering side.
79 00:07:36.490 ⇒ 00:07:41.371 Awaish Kumar: our data analytics, side modeling things, building tools, meta plane
80 00:07:42.010 ⇒ 00:07:51.280 Awaish Kumar: dexter thing like that. Like, it’s more than any technical world. And you want to be more on analyst side customer focus.
81 00:07:53.050 ⇒ 00:07:53.430 Awaish Kumar: Okay.
82 00:07:53.762 ⇒ 00:07:59.750 Caio Velasco: I get it. I think we all you you are right, makes sense. That’s how the industry works.
83 00:07:59.850 ⇒ 00:08:04.865 Caio Velasco: But on the brain fort side we also have to be. We are, you know, it’s like,
84 00:08:05.600 ⇒ 00:08:29.679 Caio Velasco: constraint, optimization problem. Brainforge cannot offer certain things. For example, let’s say that I say data analyst. But Brainforge can Brainforge really put me in a super top data analyst level in terms of growing myself in the career? If what is going to happen is what people did for Javi. Then I’m not interested then, I think, because of that restriction
85 00:08:30.240 ⇒ 00:08:41.979 Caio Velasco: up upstream work would be more important than I would choose upstream work, because I know that I would learn a lot, because for that I think you guys do something super top
86 00:08:42.270 ⇒ 00:08:50.040 Caio Velasco: for the analysts where what I saw. I think I would already have this knowledge, and I wouldn’t want to go into that direction.
87 00:08:50.980 ⇒ 00:08:54.949 Caio Velasco: But because I’m open I open. I don’t have like a strong
88 00:08:55.390 ⇒ 00:09:00.220 Caio Velasco: I really don’t have a strong opinion of like data analysis, or
89 00:09:00.580 ⇒ 00:09:18.859 Caio Velasco: is what it we know. Life. You have to deal with life with how life is now. I don’t believe in future things. I didn’t build my life in future things. I build my life in what is happening now within a strategy for the future, of course. So if Brainforge can offer me good learning and and quick
90 00:09:22.540 ⇒ 00:09:26.750 Caio Velasco: Well, a quick career projection in upstream work.
91 00:09:26.880 ⇒ 00:09:28.220 Caio Velasco: I’m gonna do that.
92 00:09:28.580 ⇒ 00:09:36.280 Awaish Kumar: I really don’t mind upstream like human downstream. More engineering work.
93 00:09:38.187 ⇒ 00:09:43.079 Caio Velasco: Think up upstream, right upstream is like data calls to data engineering.
94 00:09:43.080 ⇒ 00:09:47.320 Awaish Kumar: Yeah, data engineering starts from data engineering, and it ends to the
95 00:09:48.190 ⇒ 00:09:50.830 Awaish Kumar: data analyst work. So that’s the.
96 00:09:50.830 ⇒ 00:09:51.230 Caio Velasco: Yeah, sure.
97 00:09:51.230 ⇒ 00:09:52.390 Awaish Kumar: I think twitch.
98 00:09:53.080 ⇒ 00:09:59.850 Caio Velasco: Yeah. So maybe let’s say, data engineering with with modeling. That would be may interest. Now.
99 00:10:00.690 ⇒ 00:10:08.869 Awaish Kumar: Okay, so, but yeah, I I remember you mentioned learning about dashboards, building as well like tableau meta base.
100 00:10:09.740 ⇒ 00:10:17.459 Caio Velasco: But but but that’s that’s easy to do. I wish that’s something that I won’t claim that I will have like a career thing in this. No.
101 00:10:17.780 ⇒ 00:10:19.670 Caio Velasco: the the you don’t like routine.
102 00:10:19.670 ⇒ 00:10:26.499 Awaish Kumar: Like, it’s, it’s your interest. But yeah, data analysts have a carrier. I don’t want to push you into that like, I’m just explaining.
103 00:10:26.630 ⇒ 00:10:27.619 Awaish Kumar: like like, there are
104 00:10:28.000 ⇒ 00:10:35.809 Awaish Kumar: data analyst and building is not the data analyst job, right? It’s just part of the job
105 00:10:36.130 ⇒ 00:10:42.190 Awaish Kumar: data. Analyst job is to write queries as well. They dig into the data quality issues. They
106 00:10:42.949 ⇒ 00:10:48.949 Awaish Kumar: build the dashboard, and then they get the insights from them and present to execs.
107 00:10:49.070 ⇒ 00:10:59.329 Awaish Kumar: So like data analyst has much better way to establish
108 00:10:59.520 ⇒ 00:11:05.140 Awaish Kumar: herself in the company, because she or he will have a direct access to execs.
109 00:11:06.190 ⇒ 00:11:10.120 Awaish Kumar: It will present the insights, metrics.
110 00:11:10.340 ⇒ 00:11:20.120 Awaish Kumar: and if it is meaningful, if it is impactful, your work, then it it is directly gets noticed. As a data engineer.
111 00:11:20.430 ⇒ 00:11:24.649 Awaish Kumar: It’s it’s a good job like it’s. It’s not like, it’s not a good job. But
112 00:11:24.870 ⇒ 00:11:33.669 Awaish Kumar: yeah, it’s in the back end. So every every job has its own pros. And cons you, you are more technical than, but your job is more like
113 00:11:34.594 ⇒ 00:11:43.955 Awaish Kumar: directly dependent on your manager, or maybe like in like in internally. Maybe you are doing much more work than a data analyst. But it’s it’s like that.
114 00:11:45.540 ⇒ 00:11:49.440 Caio Velasco: Okay, okay, no. I get it. I thought you were mentioning more dashboarding work.
115 00:11:51.240 ⇒ 00:11:55.039 Caio Velasco: Well, I mean, if you think that there is a good opportunity
116 00:11:58.630 ⇒ 00:12:04.290 Caio Velasco: in data analysis, in a comprehensive view like you mentioned then. Yes, I’m interested.
117 00:12:04.540 ⇒ 00:12:05.910 Awaish Kumar: How’s that as we
118 00:12:07.160 ⇒ 00:12:14.359 Awaish Kumar: like? You may have heard in our conversations on Slack, that we are missing this engagement part where
119 00:12:14.620 ⇒ 00:12:17.930 Awaish Kumar: maybe we are not directly very engaged with the client.
120 00:12:18.120 ⇒ 00:12:24.510 Awaish Kumar: So like, if someone as a data analyst comes in, gets into the data, get some real insights
121 00:12:24.750 ⇒ 00:12:27.629 Awaish Kumar: and shares it with the client, and the client is happy.
122 00:12:27.880 ⇒ 00:12:32.810 Awaish Kumar: Well, like that, work is meaningful. But you build a dashboard and just leave it.
123 00:12:33.220 ⇒ 00:12:36.529 Awaish Kumar: That’s not meaningful. So it really depends on.
124 00:12:36.670 ⇒ 00:12:42.800 Awaish Kumar: If you take that extra step or just build a dashboard and send it over tonight.
125 00:12:43.590 ⇒ 00:12:51.529 Caio Velasco: Yeah. But is it? But are we working with clients that are still building the lineage or clients that have already that? Because if if
126 00:12:52.510 ⇒ 00:12:55.220 Caio Velasco: if we are still building, even like.
127 00:12:55.220 ⇒ 00:12:59.110 Awaish Kumar: We are building the dashboards for them, like Eden, like Javi.
128 00:12:59.270 ⇒ 00:13:09.559 Awaish Kumar: But that was, I would say, that was like missing missing, maybe on our part, or maybe we needed some more hours from the client, because client were also like
129 00:13:10.010 ⇒ 00:13:14.560 Awaish Kumar: restrictive on hours. So if they are open like, I can ask like
130 00:13:14.910 ⇒ 00:13:25.740 Awaish Kumar: if they give me 1 h per day extra. I can ask you to. Okay, spend 1 h, get some insights and share it with client. But if we, if they are not able to
131 00:13:26.320 ⇒ 00:13:35.489 Awaish Kumar: expand that and then like it’s, it’s tough. But it’s like, that’s the job of a data analyst. I’m just explaining that not no pressure from my side.
132 00:13:35.490 ⇒ 00:13:43.830 Caio Velasco: No, no, I agree. But that’s the thing like, because we are still for most clients, we’re still building pipelines. So it’s the pipelines and the data models.
133 00:13:43.830 ⇒ 00:13:50.539 Awaish Kumar: We are moving towards that. So this engagement part we know I them, Robert, we all recognize that
134 00:13:51.450 ⇒ 00:13:54.879 Awaish Kumar: that we this is a missing link right this engagement part.
135 00:13:55.140 ⇒ 00:14:04.220 Awaish Kumar: and we are I suggested to build some, maybe Ml. Model for that which would generate Ci insights and shares it with client.
136 00:14:04.620 ⇒ 00:14:10.870 Awaish Kumar: Maybe we have some person to do that where it’s really like something
137 00:14:10.970 ⇒ 00:14:14.089 Awaish Kumar: can be looked into. But yeah, I I
138 00:14:14.920 ⇒ 00:14:19.920 Awaish Kumar: you have analytics work. And you have data platform work, and after these documentations are done
139 00:14:20.220 ⇒ 00:14:22.920 Awaish Kumar: mainly, it will be more technical.
140 00:14:23.690 ⇒ 00:14:24.770 Awaish Kumar: Close.
141 00:14:25.100 ⇒ 00:14:25.950 Caio Velasco: Okay. Okay.
142 00:14:25.950 ⇒ 00:14:26.910 Awaish Kumar: And work on that.
143 00:14:27.730 ⇒ 00:14:31.057 Caio Velasco: Okay, okay, so I understand your point.
144 00:14:36.470 ⇒ 00:14:41.540 Caio Velasco: if well, I want, I want to ask. I want to answer politically. So
145 00:14:42.610 ⇒ 00:14:45.529 Caio Velasco: when there is new things. Tell me.
146 00:14:46.120 ⇒ 00:14:49.950 Caio Velasco: then I make a decision of what I’m gonna where I’m gonna head.
147 00:14:50.500 ⇒ 00:14:50.940 Awaish Kumar: Okay.
148 00:14:50.940 ⇒ 00:14:58.630 Caio Velasco: If it’s possible, then I think, okay, this is what is possible. So I prefer to focus on this for the future, and then see if Brain Forge can support me.
149 00:15:01.430 ⇒ 00:15:11.289 Awaish Kumar: Okay, yeah, sure and so like, for right now, you are okay with your workload and things.
150 00:15:12.700 ⇒ 00:15:15.430 Caio Velasco: Yes, yes, waiting for our stems. Yes.
151 00:15:16.610 ⇒ 00:15:20.765 Awaish Kumar: Yeah. But yeah, after you have the understanding.
152 00:15:21.430 ⇒ 00:15:23.219 Awaish Kumar: if you look okay with the work.
153 00:15:23.430 ⇒ 00:15:25.919 Awaish Kumar: who might get some technical work. And now
154 00:15:29.340 ⇒ 00:15:34.890 Awaish Kumar: and we have some. What do you see here?
155 00:15:37.203 ⇒ 00:15:44.459 Awaish Kumar: Data plan, like, okay, you can also bring on some new ideas for data platform.
156 00:15:44.730 ⇒ 00:15:49.119 Awaish Kumar: So we have, as I suggest, suggested that we have a
157 00:15:50.469 ⇒ 00:16:05.660 Awaish Kumar: Meta plane, but we also have an we are looking to move away from running Dbt jobs in Github. We are looking for more centralized version. If you want to put some thoughts on that like.
158 00:16:05.950 ⇒ 00:16:09.649 Awaish Kumar: I will create a like. I have to create a task. And
159 00:16:10.030 ⇒ 00:16:16.279 Awaish Kumar: and I’m bringing a project where where we actually move from this. So now we are looking for Dexter
160 00:16:16.680 ⇒ 00:16:20.919 Awaish Kumar: right now. But like, there are some other
161 00:16:21.400 ⇒ 00:16:24.469 Awaish Kumar: tools, things you think can be good. We can
162 00:16:24.860 ⇒ 00:16:27.309 Awaish Kumar: bring in that. And maybe we have a
163 00:16:27.710 ⇒ 00:16:34.689 Awaish Kumar: set up for data platform which basically. So after that, all of our Dbt jobs will be run
164 00:16:34.830 ⇒ 00:16:42.680 Awaish Kumar: internally. You can still github actions for each repository of the client so
165 00:16:42.790 ⇒ 00:16:45.649 Awaish Kumar: that way we can manage cost and things
166 00:16:46.050 ⇒ 00:16:50.560 Awaish Kumar: more effectively, and on our side, anything like.
167 00:16:52.290 ⇒ 00:16:59.669 Awaish Kumar: So that will bring some more work on the technical side. And apart from that.
168 00:17:00.340 ⇒ 00:17:06.089 Awaish Kumar: So what we said like what have been good like in the last week.
169 00:17:06.710 ⇒ 00:17:12.839 Awaish Kumar: So we discussed things are good now. We discussed that where you want to go in future.
170 00:17:13.079 ⇒ 00:17:16.670 Awaish Kumar: And but how have been things so far like
171 00:17:18.250 ⇒ 00:17:22.969 Awaish Kumar: any anything, any blockers, any communication issues with the team.
172 00:17:23.079 ⇒ 00:17:34.436 Awaish Kumar: something which have blocked you from doing something because I I was expecting. Maybe you to like, spend 20 h on data platform work
173 00:17:35.020 ⇒ 00:17:39.439 Awaish Kumar: last week. I’ve not checked it, but I don’t know how much you spent.
174 00:17:41.699 ⇒ 00:17:47.690 Caio Velasco: No. Last week I think it was like 1516, or almost 20. I don’t even remember it’s on clockified.
175 00:17:48.430 ⇒ 00:17:49.639 Awaish Kumar: Yeah, I that’s what I’m saying.
176 00:17:49.640 ⇒ 00:17:50.140 Caio Velasco: But then.
177 00:17:50.140 ⇒ 00:17:56.009 Awaish Kumar: I have not said it, but maybe I was expecting that we like. Push them out. These
178 00:17:56.180 ⇒ 00:18:07.150 Awaish Kumar: all docs work so like. Then we can get some some technical stuff in the tickets.
179 00:18:07.460 ⇒ 00:18:10.279 Awaish Kumar: because that’s part of technical part like
180 00:18:11.020 ⇒ 00:18:15.010 Awaish Kumar: that. The ticket, the things we are building. They are going to go in
181 00:18:15.140 ⇒ 00:18:18.379 Awaish Kumar: S. 3 and then ingoing AI agents.
182 00:18:18.670 ⇒ 00:18:24.479 Awaish Kumar: So like, then you can participate in. Okay, let’s I’m I will work on building a new agent
183 00:18:24.760 ⇒ 00:18:30.329 Awaish Kumar: for for 1 1 of our clients or for one of our clients. For this documentation part.
184 00:18:30.670 ⇒ 00:18:33.060 Awaish Kumar: maybe update our engine to
185 00:18:33.660 ⇒ 00:18:39.230 Awaish Kumar: add this data. So that way, you will get into the AI. Work as well like.
186 00:18:39.430 ⇒ 00:18:44.124 Awaish Kumar: It will be harder for me or Uttam, or for anyone to give you
187 00:18:44.630 ⇒ 00:18:48.060 Awaish Kumar: a full task right, and then you
188 00:18:48.330 ⇒ 00:19:08.919 Awaish Kumar: a bigger task where you’re building agent, and then it takes weeks and weeks. But if you say, like, Casey has already built a model for Eden. And now we have these jobs. It goes. We get smooth motion like S. 3, and then you get the help from Casey and Miguel and ask them, okay, let’s I want to work on this to
189 00:19:09.400 ⇒ 00:19:17.930 Awaish Kumar: add, this extra information, this documentation or text, whatever we’ve got into this agent.
190 00:19:18.110 ⇒ 00:19:26.880 Awaish Kumar: So help me with like they will guide you. How can you proceed that you get into the what tools you can get into.
191 00:19:27.150 ⇒ 00:19:32.640 Awaish Kumar: how, to what what things you can use to basically
192 00:19:33.520 ⇒ 00:19:49.569 Awaish Kumar: make this data like embeddings and things which can be further fed into the Llm. So that way, you just learn the process. So once you learn it, then you can actually build your agent from scratch as well.
193 00:19:51.820 ⇒ 00:20:08.160 Caio Velasco: Okay, yeah. But I think I agree. But I think I have to be guided toward those tasks, because I don’t know that they exist or should exist, because I don’t know the full picture I never built, so I don’t even know what’s the next step, the next step of whatever I’m doing.
194 00:20:09.080 ⇒ 00:20:12.500 Awaish Kumar: Yeah, so like, that’s what I suggested, like.
195 00:20:13.537 ⇒ 00:20:20.840 Awaish Kumar: like, once this doc is created, I will. I will put it in S. 3, like, I have a script. And
196 00:20:20.940 ⇒ 00:20:24.639 Awaish Kumar: that’s I, basically wanted it to be you. But
197 00:20:25.110 ⇒ 00:20:32.760 Awaish Kumar: because we have a limited we want to push things faster. So I just build it myself. So we will just push it
198 00:20:32.940 ⇒ 00:20:41.270 Awaish Kumar: honestly. But then maybe I can. I can ask the it if or Utah, or like, if things are not that urgent
199 00:20:42.150 ⇒ 00:20:48.190 Awaish Kumar: like to to embed this data into this like it. If we can spend few, few days on it.
200 00:20:48.380 ⇒ 00:21:00.720 Awaish Kumar: That’s okay, right? Because you will have to learn the flows. Get into it. Ask the team for help. It might take some time, and if if it’s okay, like, if not if that’s not urgent like we can just
201 00:21:01.960 ⇒ 00:21:04.600 Awaish Kumar: have you work on that. But
202 00:21:05.690 ⇒ 00:21:11.779 Awaish Kumar: but, like I would, this is a technical task, and I don’t think anybody will give you
203 00:21:12.295 ⇒ 00:21:18.999 Awaish Kumar: a complete like written description of. Okay, do that. Do that. Do that like we don’t have a checklist. So.
204 00:21:19.860 ⇒ 00:21:21.160 Awaish Kumar: What you can do.
205 00:21:21.360 ⇒ 00:21:23.410 Awaish Kumar: The task is to get into
206 00:21:23.780 ⇒ 00:21:27.970 Awaish Kumar: build the like, the update, the agent, agent.
207 00:21:28.180 ⇒ 00:21:35.559 Awaish Kumar: Now, what you can do, like what I can guide is. There’s a tool called Ninten, where we build. We are building our agents.
208 00:21:36.750 ⇒ 00:21:41.009 Awaish Kumar: and there’s a database called supervise, where we have our
209 00:21:43.600 ⇒ 00:21:54.099 Awaish Kumar: our data like, which is coming from S. 3. That’s let’s let’s then it’s it’s loaded to the that database. And then finally, our agents read from that database
210 00:21:54.480 ⇒ 00:21:57.500 Awaish Kumar: and boom then
211 00:21:57.660 ⇒ 00:22:14.010 Awaish Kumar: you maybe get credentials to log into those tools. But after that you go into the tools you familiarize yourself with what’s happening, how the database is created, how it looks like and then you ask, start asking questions.
212 00:22:15.370 ⇒ 00:22:23.369 Awaish Kumar: Right? So if there are questions related to pipeline related to data. Maybe I can answer, but there are. If there are some questions related
213 00:22:23.910 ⇒ 00:22:26.890 Awaish Kumar: into building agents or slack balls.
214 00:22:27.370 ⇒ 00:22:31.700 Awaish Kumar: maybe Casey and Megel are the better. But like the alternative
215 00:22:32.350 ⇒ 00:22:40.369 Awaish Kumar: to ask questions to. So then it’s it’s such. This is how it would work, and you have to ping them. You have to be proactive like
216 00:22:40.910 ⇒ 00:22:44.920 Awaish Kumar: maybe I can ask Jesse. Okay, let’s maybe pair with
217 00:22:45.452 ⇒ 00:22:51.250 Awaish Kumar: Kyle, but he’s not going to ping you like, cause he he don’t need your help, like
218 00:22:51.390 ⇒ 00:23:03.760 Awaish Kumar: you need his help right? So he like. And he don’t know. Like when you need help, right? So it’s it’s your job then to ask questions to the everybody. It’s it happens like that.
219 00:23:05.615 ⇒ 00:23:08.170 Awaish Kumar: Because nobody knows you need help.
220 00:23:10.340 ⇒ 00:23:11.550 Awaish Kumar: Need anything.
221 00:23:12.390 ⇒ 00:23:19.549 Caio Velasco: No, I I get your point. I get your point, I think. What what I mean is that I need to have clear ideas of
222 00:23:19.660 ⇒ 00:23:25.209 Caio Velasco: what are the tasks involving a big project or anything you want to call big?
223 00:23:26.110 ⇒ 00:23:38.840 Caio Velasco: Well, task for? I mean just breaking down into whatever you don’t have to be detailed. But I have to have a clear picture of like, okay, in this next month you’re gonna work in this. You have this amount of hours.
224 00:23:39.200 ⇒ 00:23:49.170 Caio Velasco: and when you have to do whatever you have to do to get it done. But I want to have that. I cannot be myself looking for those things myself, because I don’t know they exist.
225 00:23:49.170 ⇒ 00:23:51.770 Awaish Kumar: No, no like we. We already defined that.
226 00:23:52.110 ⇒ 00:23:57.649 Awaish Kumar: like you, will be working on for 20 h on urban stems. Now we don’t have a
227 00:23:58.370 ⇒ 00:24:06.949 Awaish Kumar: plan on like what tickets individual tickets you will be working on. It’s like, it’s a it’s a job of amber to decide completely with you.
228 00:24:06.950 ⇒ 00:24:07.430 Caio Velasco: Yeah.
229 00:24:07.430 ⇒ 00:24:09.969 Awaish Kumar: What the tickets will be. Similarly, as I mentioned.
230 00:24:10.350 ⇒ 00:24:25.920 Awaish Kumar: like on a data platform side, I can maybe 1015 to 20 h we can spend with between us. But the the weekly meetings I have that’s for that purpose, like we define for this week. These are the tasks we’ll push out.
231 00:24:26.190 ⇒ 00:24:31.129 Awaish Kumar: So this gives you the direction so like, for 30 days we don’t like have a
232 00:24:31.560 ⇒ 00:24:42.280 Awaish Kumar: clearly establish all the tickets. So we we will. That’s why we have this weekly sprints kind of where we define. Okay, these are 5 tasks. We will be done in this week, and we’ll start next next week. Want to do.
233 00:24:42.520 ⇒ 00:24:43.750 Awaish Kumar: Okay. I’m glad.
234 00:24:43.750 ⇒ 00:24:44.710 Caio Velasco: So far.
235 00:24:44.970 ⇒ 00:24:45.919 Awaish Kumar: We expect you.
236 00:24:49.050 ⇒ 00:24:54.530 Caio Velasco: But then, my, my point is like so just to understand, like from last week, when you started more or less.
237 00:24:54.820 ⇒ 00:25:01.039 Caio Velasco: everything is on. It’s it’s going in the way it should be going, as I see.
238 00:25:03.840 ⇒ 00:25:05.599 Awaish Kumar: Data platform side.
239 00:25:06.010 ⇒ 00:25:06.480 Caio Velasco: Yeah.
240 00:25:06.610 ⇒ 00:25:09.500 Awaish Kumar: Yeah, yeah, like things. That’s what I’m saying. Like.
241 00:25:10.200 ⇒ 00:25:14.770 Awaish Kumar: that’s how it worked. Like you mentioned about 30 days plan. That’s what I’m saying
242 00:25:15.550 ⇒ 00:25:26.809 Awaish Kumar: in a 30 day plan. What you can get is a projection of how much you are going to spend in Rainforge, or how much you are going to spend on this client and internal work.
243 00:25:26.910 ⇒ 00:25:34.860 Awaish Kumar: But this going to come weekly base, right as in a sprint, that which tasks are in this sprint.
244 00:25:34.980 ⇒ 00:25:35.385 Caio Velasco: Yeah.
245 00:25:35.960 ⇒ 00:25:45.820 Caio Velasco: no, it’s okay. Weekly, no problem, no problem. I just need to have this because you mentioned that you wanted to push things faster. But I think what the time I had.
246 00:25:45.820 ⇒ 00:26:03.569 Awaish Kumar: Yeah, faster means does not mean that. You spend your 40 h instead of 20 faster means. We all work together, so I cannot wait for you to be, get free next week and then work on this. I can myself take
247 00:26:03.720 ⇒ 00:26:07.289 Awaish Kumar: something if I’m free. So faster means that.
248 00:26:07.540 ⇒ 00:26:11.220 Awaish Kumar: like everybody utilizes their time to get things up.
249 00:26:12.608 ⇒ 00:26:14.840 Caio Velasco: Well on my side.
250 00:26:15.765 ⇒ 00:26:19.619 Caio Velasco: As long as you’re not taking my hours then. Yes.
251 00:26:20.050 ⇒ 00:26:26.490 Caio Velasco: that’s why I said that I would like to have a clear picture of how many hours I’m working. For example, if I will work 10 h per week
252 00:26:26.630 ⇒ 00:26:29.650 Caio Velasco: in whatever client I will use those 10 h.
253 00:26:30.380 ⇒ 00:26:31.960 Awaish Kumar: Yeah. But that’s.
254 00:26:31.960 ⇒ 00:26:33.529 Caio Velasco: And it is what it and you know.
255 00:26:34.520 ⇒ 00:26:38.669 Caio Velasco: or and then someone else does something else. Then then it’s a mess.
256 00:26:39.060 ⇒ 00:26:44.050 Awaish Kumar: Yeah, yeah. But that’s not happening right now. Right? So on the data platform side.
257 00:26:44.260 ⇒ 00:26:46.599 Awaish Kumar: you already got your week booked.
258 00:26:47.180 ⇒ 00:26:51.850 Awaish Kumar: So I cannot push you to work longer than that. That’s my point.
259 00:26:52.110 ⇒ 00:26:56.000 Awaish Kumar: So then I have to find someone else, or I have to work on it.
260 00:26:56.700 ⇒ 00:26:59.789 Caio Velasco: But there was no work. So that’s what I don’t understand.
261 00:27:00.470 ⇒ 00:27:03.279 Awaish Kumar: Yeah, there was like we already. I already discussed.
262 00:27:03.280 ⇒ 00:27:10.160 Caio Velasco: Documentation and the spreadsheet. Those things are done in the amount of hours I have or will be done.
263 00:27:10.560 ⇒ 00:27:13.120 Awaish Kumar: Yeah, what? My point is that
264 00:27:13.560 ⇒ 00:27:20.679 Awaish Kumar: if, like, there’s documentation, there’s Google sheets. And then there is a task to push these onto the notion.
265 00:27:20.950 ⇒ 00:27:21.720 Awaish Kumar: Right?
266 00:27:22.310 ⇒ 00:27:32.660 Awaish Kumar: So the estimated we estimated that you will be. You will spend your time in this week, maybe 20 h building those sheets and things like that.
267 00:27:33.530 ⇒ 00:27:40.959 Awaish Kumar: So that means you are going to spend your time. So I see that you don’t have a capacity.
268 00:27:41.090 ⇒ 00:27:44.800 Awaish Kumar: and I don’t want to like
269 00:27:45.480 ⇒ 00:27:48.040 Awaish Kumar: push extra work on on your.
270 00:27:48.150 ⇒ 00:27:48.889 Caio Velasco: Had like.
271 00:27:48.890 ⇒ 00:27:56.099 Caio Velasco: but there was no extra work which that’s what I mean. If there were extra work I would have planned my weeks differently since last month.
272 00:27:57.430 ⇒ 00:27:58.690 Caio Velasco: and have more time.
273 00:27:59.380 ⇒ 00:28:04.970 Awaish Kumar: Oh, I what I’m trying to say is that what extra work like?
274 00:28:05.770 ⇒ 00:28:15.160 Awaish Kumar: So I’m let’s take an example like like after this building these talks tasks, we have to push them in. S. 3. We need a part extra pipeline for that
275 00:28:15.380 ⇒ 00:28:15.940 Awaish Kumar: right.
276 00:28:15.940 ⇒ 00:28:16.630 Caio Velasco: Yes.
277 00:28:17.480 ⇒ 00:28:19.490 Awaish Kumar: I already discussed this
278 00:28:19.670 ⇒ 00:28:27.319 Awaish Kumar: like in in our meetings. I might not have created a ticket for that, but I discussed that these Pr summaries
279 00:28:27.785 ⇒ 00:28:38.159 Awaish Kumar: which? Them lade is going to create. Also go to S. 3, and then AI. Agent will read it, and the documentation also go to s. 3 and AI. Boss will read it.
280 00:28:38.450 ⇒ 00:28:46.685 Awaish Kumar: So these are the tasks right? I might not have created a ticket, for that. I might have not have assigned it to you. I’m not saying I’m
281 00:28:47.660 ⇒ 00:28:50.050 Awaish Kumar: like this like we have a milestone.
282 00:28:50.210 ⇒ 00:28:55.199 Awaish Kumar: It’s not like taking anyone’s word. It’s like we have a milestone in this week. We are going to
283 00:28:55.440 ⇒ 00:29:12.479 Awaish Kumar: reach that. Okay. Now you get the team and assign everyone’s availability. Right? I assigned yours like 20 h of time. I assign 5 h of Demo Andy’s time assigned Annie’s time. For 5, 7 HI assign Luke’s time
284 00:29:12.730 ⇒ 00:29:17.670 Awaish Kumar: 5, 10 h, and then I kept whatever was left
285 00:29:19.020 ⇒ 00:29:22.061 Awaish Kumar: to to push on that. That’s what I’m saying.
286 00:29:22.760 ⇒ 00:29:28.590 Awaish Kumar: Next week. Also, we are going to create some tickets similarly. And
287 00:29:28.800 ⇒ 00:29:32.919 Awaish Kumar: then because that’s why I ask everybody like, what do you want to take?
288 00:29:34.360 ⇒ 00:29:39.740 Awaish Kumar: So it’s like, if I just assign you this some documentation work, and you want to work some technical work.
289 00:29:39.920 ⇒ 00:29:43.529 Awaish Kumar: or maybe, like I asked for this Pr. Summaries.
290 00:29:44.300 ⇒ 00:29:49.039 Awaish Kumar: Pr. Somebody’s task, and, like Damalade, was willing to take it. So
291 00:29:49.430 ⇒ 00:29:51.500 Awaish Kumar: I just assigned to him like.
292 00:29:51.780 ⇒ 00:30:07.709 Awaish Kumar: if somebody says I want to take it, I can assign it to him. I don’t want to mind everyone to work on specific tickets like I create some tickets, or maybe with your ideas, you you can create some tickets. And then in the when we are in planning meeting.
293 00:30:07.840 ⇒ 00:30:11.860 Awaish Kumar: then we show renters like, okay, this is the task I want to take.
294 00:30:13.080 ⇒ 00:30:13.550 Caio Velasco: Okay.
295 00:30:13.550 ⇒ 00:30:14.260 Awaish Kumar: Then I guess.
296 00:30:14.260 ⇒ 00:30:17.520 Caio Velasco: No, I get it. Yeah, yeah, let me let me.
297 00:30:17.520 ⇒ 00:30:24.749 Awaish Kumar: See, then it depends on like. Then also one thing, except for the interest
298 00:30:25.400 ⇒ 00:30:29.780 Awaish Kumar: like, if you have the expertise required to finish this task in a day
299 00:30:29.950 ⇒ 00:30:57.649 Awaish Kumar: or on in a week, or like, if the time we are going, how much time is going to be spent is comes into consideration. But it’s the second thing. 1st comes the interest like you show the interest. Then we can see. Okay, if you say I can finish it in a day, or I spend like 8 h, and I do it and my like, it might be okay. Right? It’s not that bad like. If you build a full pipeline in a day. That’s okay. Right? I I don’t mind. But it’s
300 00:30:58.350 ⇒ 00:31:10.309 Awaish Kumar: it needs to come from you. Like, okay, I mean, I’m interested to work on that, and I can work on these 3 tasks, and I will spend my 20 h. That’s all.
301 00:31:11.560 ⇒ 00:31:19.000 Caio Velasco: Okay, okay, okay. So I mean, I mean to to make it easier. Then next week I’m free.
302 00:31:19.220 ⇒ 00:31:23.400 Caio Velasco: If I can be working 40 h per week. I would
303 00:31:24.910 ⇒ 00:31:33.530 Caio Velasco: and the rest will will falls into place, you know. I think. Yeah, from my side. There’s not much much things I can tell you, like.
304 00:31:33.670 ⇒ 00:31:42.410 Caio Velasco: everything has been good. The data platform works nice. I’m doing, you understand? I have no idea what’s gonna happen. So it’s an expectation.
305 00:31:42.750 ⇒ 00:31:49.409 Caio Velasco: I have 40 h of availability per week. I would like to use the the 40 h.
306 00:31:50.560 ⇒ 00:31:53.519 Caio Velasco: And yeah, that that’s I mean, it’s simple.
307 00:31:54.050 ⇒ 00:31:54.970 Awaish Kumar: Yeah, I
308 00:31:55.350 ⇒ 00:32:02.800 Awaish Kumar: I can ask. I can confirm that with them, how? How he wants it to be 2030 h or 40, and then
309 00:32:03.810 ⇒ 00:32:07.189 Awaish Kumar: how much he needs to understand, based on that we can
310 00:32:07.981 ⇒ 00:32:12.619 Awaish Kumar: look for next week. But this week you have already have things to do.
311 00:32:12.620 ⇒ 00:32:16.040 Caio Velasco: Yes, yes, no. Perfect. This week is okay.
312 00:32:17.200 ⇒ 00:32:26.786 Awaish Kumar: So anything. Yeah, I have to now join in the meeting. So see you, it was a good meeting. And I, yeah, so see you.
313 00:32:27.170 ⇒ 00:32:28.969 Caio Velasco: Thank you. Thank you. Go there bye-bye.