Meeting Title: Uttam-Kumaran’s-Personal-Meeting-Room Date: 2024-08-27 Meeting participants: Joshuadeveyra, Uttam Kumaran
WEBVTT
1 00:00:44.630 ⇒ 00:00:45.470 joshuadeveyra: Hello! Hello!
2 00:00:46.100 ⇒ 00:00:47.380 Uttam Kumaran: Hey? How are you?
3 00:00:49.400 ⇒ 00:00:50.450 Uttam Kumaran: Yeah.
4 00:00:51.730 ⇒ 00:00:53.500 joshuadeveyra: Wait! Wait! Let me
5 00:00:54.090 ⇒ 00:00:55.920 joshuadeveyra: let me just put my headphones on.
6 00:01:04.739 ⇒ 00:01:06.740 joshuadeveyra: Hello! Can you hear me now? Properly?
7 00:01:06.970 ⇒ 00:01:08.030 Uttam Kumaran: Yes. Can you hear me?
8 00:01:09.080 ⇒ 00:01:11.399 joshuadeveyra: You’re a bit like, so far from the mic.
9 00:01:12.410 ⇒ 00:01:12.970 joshuadeveyra: Okay.
10 00:01:12.970 ⇒ 00:01:14.669 Uttam Kumaran: Sorry I have my.
11 00:01:15.770 ⇒ 00:01:18.759 Uttam Kumaran: but maybe it’s switching mics. Hold on.
12 00:01:24.080 ⇒ 00:01:24.840 Uttam Kumaran: you know.
13 00:01:30.120 ⇒ 00:01:31.480 Uttam Kumaran: How about now? Better.
14 00:01:31.870 ⇒ 00:01:33.290 joshuadeveyra: Yeah. A lot better.
15 00:01:33.990 ⇒ 00:01:36.810 Uttam Kumaran: Okay? Okay, cool. How’s everything? How’s vacation?
16 00:01:38.320 ⇒ 00:01:39.887 joshuadeveyra: I was okay,
17 00:01:40.760 ⇒ 00:01:43.390 joshuadeveyra: got pretty boring. Good thing, blackmail.
18 00:01:43.390 ⇒ 00:01:43.930 Uttam Kumaran: The phone world.
19 00:01:43.930 ⇒ 00:01:44.950 joshuadeveyra: Out!
20 00:01:46.630 ⇒ 00:01:47.930 Uttam Kumaran: You go.
21 00:01:49.364 ⇒ 00:01:51.730 joshuadeveyra: But yeah, now I have coughs.
22 00:01:54.800 ⇒ 00:01:56.969 Uttam Kumaran: Where did you? Where did you go?
23 00:01:57.700 ⇒ 00:02:01.521 joshuadeveyra: Oh, we were. We were supposed to go, Korea, but you know,
24 00:02:02.100 ⇒ 00:02:06.100 joshuadeveyra: you know the monkey pox thing, so we can’t really move anywhere right now.
25 00:02:06.610 ⇒ 00:02:08.590 Uttam Kumaran: Oh, no. Way. Okay.
26 00:02:08.590 ⇒ 00:02:09.000 joshuadeveyra: That’s good.
27 00:02:09.009 ⇒ 00:02:10.929 Uttam Kumaran: They said, it’s here in the Us, too.
28 00:02:11.820 ⇒ 00:02:17.400 joshuadeveyra: Yeah, like, we have 4 cases already. So you know, they didn’t want to take any vacations. I guess.
29 00:02:18.030 ⇒ 00:02:21.159 Uttam Kumaran: What’s gonna happen like? Is it actually very serious?
30 00:02:22.857 ⇒ 00:02:30.050 joshuadeveyra: Well, I don’t think it will be like, you know, Covid, because the only way you get it is through intimate physical contact. So.
31 00:02:31.505 ⇒ 00:02:33.980 Uttam Kumaran: Won’t be like crazy, but.
32 00:02:34.980 ⇒ 00:02:35.690 joshuadeveyra: Yeah.
33 00:02:37.600 ⇒ 00:02:40.819 joshuadeveyra: But yeah, saw your what do you call this? Saw the
34 00:02:41.220 ⇒ 00:02:42.989 joshuadeveyra: the document you sent.
35 00:02:44.060 ⇒ 00:02:50.440 Uttam Kumaran: And I think, like, let’s today, let’s talk through that. And then let’s also talk. We can talk about
36 00:02:51.973 ⇒ 00:02:58.258 Uttam Kumaran: wise and stuff like that, and then kind of get that sort of way. I can pay you at the end of the month. And then
37 00:02:59.214 ⇒ 00:03:05.299 Uttam Kumaran: yeah, I guess we could talk about anything else. So first, st yeah, basically.
38 00:03:05.460 ⇒ 00:03:09.190 Uttam Kumaran: I think the document was kind of self explanatory. But for the most part
39 00:03:09.240 ⇒ 00:03:16.159 Uttam Kumaran: you know what we’re trying to do is a part of the sales thing that we’re going to do is when a company basically puts out a job posting that they
40 00:03:16.220 ⇒ 00:03:31.720 Uttam Kumaran: need help with something that means that, of course, there’s demand. And so one of the ways that we’re going to try and sell those folks is basically, you know, brain forge, we do data services. So if someone puts up a posting for Dbt data engineering.
41 00:03:32.152 ⇒ 00:03:35.420 Uttam Kumaran: you know, we should totally be able to email them, say, Hey.
42 00:03:35.470 ⇒ 00:03:46.440 Uttam Kumaran: you know, you guys have probably had issues hiring. Or you guys see, we see you have a need, any interest in speaking with us. We have a bunch of people like that. So the main things is one we need to
43 00:03:46.460 ⇒ 00:04:01.300 Uttam Kumaran: like, I want to have basically a form that like we can send job postings into. And then the kind of output is one, the email into, like a kind of like a personal like email, address of who we should send a note to, and then also
44 00:04:01.927 ⇒ 00:04:07.489 Uttam Kumaran: the actual like email, that we should send something that’s like personalized, like
45 00:04:07.590 ⇒ 00:04:11.540 Uttam Kumaran: your company. This role, you know, something like that. So.
46 00:04:13.110 ⇒ 00:04:14.640 joshuadeveyra: Yeah, okay.
47 00:04:16.790 ⇒ 00:04:18.450 Uttam Kumaran: So what did you think when you played around.
48 00:04:22.049 ⇒ 00:04:28.059 joshuadeveyra: the thing, I guess. But I did like find the workaround already was for
49 00:04:28.692 ⇒ 00:04:39.509 joshuadeveyra: the hiring managers, right? So basically, the workaround I did was well, if talent manager isn’t like this because I tried, I think it was Royal and Ross right.
50 00:04:40.160 ⇒ 00:04:40.720 Uttam Kumaran: Yes.
51 00:04:40.720 ⇒ 00:04:53.549 joshuadeveyra: Yeah. Yeah. So I tried searching in Google Royal and Hiring Manager Royal and Ross, you know, there was nothing appearing. So I was like, maybe try try it 4 times right. Hr. Talent, acquisition, basically.
52 00:04:53.550 ⇒ 00:04:54.080 Uttam Kumaran: Yeah, yeah.
53 00:04:54.080 ⇒ 00:05:02.320 joshuadeveyra: Just yeah out there and then. Num, you know, he popped out. But still there’s no email. But we were able to get the Linkedin profile.
54 00:05:03.230 ⇒ 00:05:05.169 Uttam Kumaran: Yeah, so that’s basically is like.
55 00:05:05.200 ⇒ 00:05:08.759 Uttam Kumaran: and I think we we have Apollo. We have Linkedin.
56 00:05:08.870 ⇒ 00:05:18.440 Uttam Kumaran: So I think one of those is gonna have. And then also again, like, I think we’re gonna have a couple of like fallback cases like hiring manager Hr. Manager, recruiter.
57 00:05:18.570 ⇒ 00:05:26.350 Uttam Kumaran: You know, we’ll have like 4 I don’t want to send. I want to have like a hierarchy, though I don’t want to send to everybody. I just want to send to like
58 00:05:26.550 ⇒ 00:05:36.919 Uttam Kumaran: the people, because, for example, the hiring manager is the one that makes a decision. The recruiter may not make the decision, but if we don’t have anybody, then might as well, you know, whoever we have
59 00:05:38.620 ⇒ 00:05:41.820 Uttam Kumaran: and then basically gonna send that to instantly, so
60 00:05:47.220 ⇒ 00:05:52.690 Uttam Kumaran: so what else? Do you need there, like you’re gonna are you gonna try to use Apollo to get the email.
61 00:05:54.870 ⇒ 00:05:59.409 joshuadeveyra: Actually, can you like brief me a bit about Apollo? It’s the 1st time I I’m gonna be using it.
62 00:05:59.410 ⇒ 00:06:07.260 Uttam Kumaran: Oh, yeah, yeah, I’ll send you an invite. Actually, you’ll like it. It’s have you used like zoom info, or anything else to get like email addresses?
63 00:06:07.850 ⇒ 00:06:09.970 joshuadeveyra: I think I used something.
64 00:06:10.540 ⇒ 00:06:12.699 joshuadeveyra: I’m not sure if you’re familiar with clay.
65 00:06:13.710 ⇒ 00:06:22.499 Uttam Kumaran: Yeah, like clay. It’s similar to clay. It’s just like you can do the contact. Look up so you can put in a company or filter to like. I want us based.
66 00:06:22.800 ⇒ 00:06:28.230 Uttam Kumaran: you know, e-commerce companies, and it’ll give you the list, and then you can filter to people.
67 00:06:29.260 ⇒ 00:06:31.100 Uttam Kumaran: let me actually invite you right now.
68 00:06:31.460 ⇒ 00:06:32.880 Uttam Kumaran: That way you can see it.
69 00:06:33.200 ⇒ 00:06:34.589 Uttam Kumaran: Apollo is like
70 00:06:35.758 ⇒ 00:06:39.289 Uttam Kumaran: apollo is kind of like Hubspot.
71 00:06:41.000 ⇒ 00:06:43.480 Uttam Kumaran: So let me invite you that way you can click around
72 00:06:48.410 ⇒ 00:06:51.359 Uttam Kumaran: And then you got your brain forge email and everything set up right.
73 00:06:52.460 ⇒ 00:06:53.970 joshuadeveyra: Yes, yes, they got it.
74 00:06:54.210 ⇒ 00:06:55.379 Uttam Kumaran: Okay, cool, cool.
75 00:06:56.180 ⇒ 00:07:14.419 Uttam Kumaran: Yeah. And then I started adding, you know, I started working on that Github relevance. And I’ve been playing around a lot relevance. And zapier. You know, I wrote a zapier thing that i. 1 thing that I do a lot is I get email inbound from clients like, can you do this thing? Can you do that thing? So I actually wrote a Zap that I forward emails to.
76 00:07:14.500 ⇒ 00:07:16.741 Uttam Kumaran: It uses Chat Gpt to
77 00:07:17.560 ⇒ 00:07:21.109 Uttam Kumaran: summarize it, and then adds a task to notion for me.
78 00:07:21.550 ⇒ 00:07:22.500 joshuadeveyra: I am.
79 00:07:23.230 ⇒ 00:07:24.980 Uttam Kumaran: That’s been sick. It’s been great.
80 00:07:26.500 ⇒ 00:07:31.920 joshuadeveyra: Yeah, they’re they’re. It’s really helpful, especially like relevance. I really like it. For whatever reason, like, it’s so easy.
81 00:07:31.920 ⇒ 00:07:36.380 Uttam Kumaran: Yeah, no relevance is so nice. Man. Oh, my God, it’s so nice.
82 00:07:36.760 ⇒ 00:07:37.450 joshuadeveyra: Game, changer.
83 00:07:37.450 ⇒ 00:07:38.410 Uttam Kumaran: Insane.
84 00:07:38.580 ⇒ 00:07:40.160 Uttam Kumaran: Yeah, it’s insane.
85 00:07:41.720 ⇒ 00:07:43.780 joshuadeveyra: The price is kinda insane to do.
86 00:07:46.110 ⇒ 00:07:50.907 Uttam Kumaran: Yeah, but I mean, I don’t know. It’s like, everything’s so expensive that
87 00:07:52.900 ⇒ 00:07:53.670 joshuadeveyra: Yeah.
88 00:07:53.670 ⇒ 00:07:54.850 Uttam Kumaran: I don’t know. It’s.
89 00:07:56.870 ⇒ 00:07:57.480 joshuadeveyra: And.
90 00:07:59.580 ⇒ 00:08:03.550 Uttam Kumaran: Okay, let me share. So we only have one seat on Apollo.
91 00:08:03.994 ⇒ 00:08:06.239 Uttam Kumaran: But I’m gonna share you my
92 00:08:06.967 ⇒ 00:08:09.590 Uttam Kumaran: my account that way you can
93 00:08:10.160 ⇒ 00:08:14.069 Uttam Kumaran: use that cause. I don’t want to pay for another seat right now.
94 00:08:14.070 ⇒ 00:08:17.460 joshuadeveyra: Apollo, dot I/O. Is it this one? Or Apollo Graphql.
95 00:08:17.960 ⇒ 00:08:19.660 Uttam Kumaran: It’s Apollo dot I/O.
96 00:08:20.266 ⇒ 00:08:21.000 joshuadeveyra: Okay, okay.
97 00:08:25.660 ⇒ 00:08:29.630 joshuadeveyra: Do you also work with like government stuff or no?
98 00:08:31.140 ⇒ 00:08:32.850 Uttam Kumaran: Not at the moment.
99 00:08:33.500 ⇒ 00:08:36.409 Uttam Kumaran: because Us. Government, it’s a little bit difficult.
100 00:08:41.816 ⇒ 00:08:42.609 joshuadeveyra: Yeah. Yeah.
101 00:08:42.909 ⇒ 00:08:46.659 Uttam Kumaran: Yeah, us government’s a little bit difficult.
102 00:08:47.733 ⇒ 00:08:50.299 Uttam Kumaran: But mainly we do like
103 00:08:50.579 ⇒ 00:08:52.679 Uttam Kumaran: normal corporations.
104 00:08:54.340 ⇒ 00:08:58.460 joshuadeveyra: If you have like time. Is it possible, you know, to like
105 00:09:00.213 ⇒ 00:09:06.559 joshuadeveyra: could you tell me like what the company does, for example, especially for like, say, it’s a government. What what do you guys can do.
106 00:09:06.560 ⇒ 00:09:10.160 Uttam Kumaran: Oh, yeah, totally. I mean, so, brain forge,
107 00:09:11.300 ⇒ 00:09:23.310 Uttam Kumaran: like Brainforge, what we do primarily is data analytics. So we do data engineering data modeling. And you know, for a variety of companies. So it can be anything from like sales data to
108 00:09:25.090 ⇒ 00:09:39.110 Uttam Kumaran: So we do anything from sales data to marketing data to shipping logistics, manufacturing. We have a bunch of clients that we work with. My background is in, you know, data engineering. Like, I told you, I’m an engineer as well. So I started the company because I
109 00:09:39.270 ⇒ 00:09:44.230 Uttam Kumaran: you know, I worked with a lot of engineers and a lot of people just like weren’t really great. And so I wanted to
110 00:09:44.300 ⇒ 00:09:49.399 Uttam Kumaran: kind of bring in the best people that I work with, and kind of bring them all into one firm, where.
111 00:09:49.560 ⇒ 00:09:59.149 Uttam Kumaran: you know, we can go work for the best people kind of charge charge higher rates, and, you know, go take on really great work. So mainly, for like
112 00:09:59.150 ⇒ 00:10:20.780 Uttam Kumaran: it depends kinda depends on the requirements. But clients, for example, sometimes they want to report on how their teams are doing, how their sales are doing. They have data that’s in multiple different areas. We use tools like snowflake to kind of basically bring like their data into one place, do modeling and then start doing data, science and analytics.
113 00:10:22.480 ⇒ 00:10:23.409 joshuadeveyra: I see.
114 00:10:24.310 ⇒ 00:10:26.619 Uttam Kumaran: What sort of like government thing are you thinking about?
115 00:10:27.350 ⇒ 00:10:31.550 joshuadeveyra: Oh, because, like, you know, in my like, my, my country, right?
116 00:10:31.880 ⇒ 00:10:35.630 joshuadeveyra: We’re not really that digitized yet. And we’re currently, you know.
117 00:10:35.740 ⇒ 00:10:41.629 joshuadeveyra: we’re currently I would say, digitizing right? We’re pretty far behind.
118 00:10:41.950 ⇒ 00:10:49.160 joshuadeveyra: So cause. My, I I’m not sure if I mentioned already. But my dad is like leading one of the biggest projects here. I think it’s around.
119 00:10:49.160 ⇒ 00:10:50.550 Uttam Kumaran: Yeah, you did mention. Yeah.
120 00:10:50.950 ⇒ 00:10:52.430 joshuadeveyra: Yeah. And then there’s a lot.
121 00:10:52.430 ⇒ 00:10:56.579 Uttam Kumaran: So what sort of what sort of data things like? Do you think you would need.
122 00:10:58.360 ⇒ 00:11:04.660 joshuadeveyra: Oh, that’s the thing I wanted to talk to you about, right? Because I’m not sure I’m pretty new to the the entire data analytics field.
123 00:11:04.670 ⇒ 00:11:09.390 joshuadeveyra: But that that’s like one of the major issues like we’re having right now.
124 00:11:09.560 ⇒ 00:11:11.989 joshuadeveyra: Because, like we have around.
125 00:11:12.230 ⇒ 00:11:14.190 joshuadeveyra: I think 70 million
126 00:11:14.280 ⇒ 00:11:15.470 joshuadeveyra: backlogs.
127 00:11:16.290 ⇒ 00:11:16.950 Uttam Kumaran: Yeah.
128 00:11:17.370 ⇒ 00:11:17.880 Uttam Kumaran: and.
129 00:11:17.880 ⇒ 00:11:22.269 joshuadeveyra: Like, that’s the national view of investigation that basically your FBI here.
130 00:11:22.600 ⇒ 00:11:23.005 joshuadeveyra: Yeah,
131 00:11:23.817 ⇒ 00:11:38.209 joshuadeveyra: it’s it’s kind of a mess. It’s kind of messed up right now. So I I was thinking, especially like towards the next few years, right? Especially the new administration. They really wanna digitize things. Maybe you know I could recommend, because my dad is basically the one spearheading it.
132 00:11:38.260 ⇒ 00:11:39.609 joshuadeveyra: The entire process. Yeah.
133 00:11:39.610 ⇒ 00:11:45.899 Uttam Kumaran: Yeah, I mean, I’m happy to share you more documents. And I mean, of course, we’re working together. So I’m happy to share more. I mean.
134 00:11:46.000 ⇒ 00:11:49.989 Uttam Kumaran: the biggest thing that is is healthy. To understand is one like
135 00:11:50.010 ⇒ 00:11:52.340 Uttam Kumaran: what are the key things they’re trying to measure
136 00:11:52.470 ⇒ 00:12:03.070 Uttam Kumaran: right. And that’s sometimes really hard to get to, because there’s a lot of things like, for example, in a company like mine, you have sales, you have people, you have documents. You have a ton of stuff. So
137 00:12:03.170 ⇒ 00:12:07.609 Uttam Kumaran: the biggest thing to to gather if you spend time talking to him is that one understand
138 00:12:07.740 ⇒ 00:12:28.589 Uttam Kumaran: how they’re using data today. And then, second, is, what are some improvements they want to make in what they want to measure right? And that that way we understand cool you. You’re at this current state. You want to measure these things, then it’s helpful for me to say, Okay, cool. Let me look through what your sources are. Okay. You have a 3rd party vendor here. You have some postgres databases here you have some.
139 00:12:28.850 ⇒ 00:12:32.100 Uttam Kumaran: you know. Srtp stuff. You ask 3 buckets.
140 00:12:32.410 ⇒ 00:12:47.454 Uttam Kumaran: you know. We kind of gather what? Where? All their data lives. And then we also agree on like, okay, how are you going to report on this? Do you have a bi tool, like looker or tableau. Do you have like you want to do all this? Excel? And then we kind of set together a project.
141 00:12:47.830 ⇒ 00:12:55.239 Uttam Kumaran: you know, that’s kind of like all the work that we do. Of course, I think working with government, there’s probably some more restrict. There’s definitely more restrictions on.
142 00:12:55.300 ⇒ 00:12:58.939 Uttam Kumaran: you know, getting accepted as a vendor and security and stuff like that. But
143 00:12:59.030 ⇒ 00:13:01.750 Uttam Kumaran: you know, that’s kind of all the stuff that we do basically.
144 00:13:03.907 ⇒ 00:13:07.920 joshuadeveyra: Yeah, it’s it’s no reason, because I was the one who developed everything for them.
145 00:13:08.820 ⇒ 00:13:10.300 Uttam Kumaran: Oh, cool. Cool. Okay.
146 00:13:10.300 ⇒ 00:13:22.929 joshuadeveyra: Because, yeah, they had like this issue. Basically, it’s basically it’s case management. For you know, all the cases. So all the arrested persons rescued people, the cases, the agents, everything.
147 00:13:23.020 ⇒ 00:13:27.100 joshuadeveyra: It’s probably gonna because that’s like the big issue in our Senate right now
148 00:13:27.320 ⇒ 00:13:28.479 joshuadeveyra: and then you may.
149 00:13:28.480 ⇒ 00:13:29.579 Uttam Kumaran: Interesting. Okay.
150 00:13:29.580 ⇒ 00:13:34.420 joshuadeveyra: We need a lot of data. So I was like, Wait, I’m working with a data company right now. Maybe there’s
151 00:13:34.950 ⇒ 00:13:38.030 joshuadeveyra: I said, maybe there’s something we can work here right.
152 00:13:38.387 ⇒ 00:13:45.819 Uttam Kumaran: I mean dude. I’m always down. I mean the love. The one thing I love about business is like everybody I work with. I’m like.
153 00:13:45.850 ⇒ 00:13:53.210 Uttam Kumaran: let’s find a way to do whatever we want together. So if you want to loop me in, or you want to keep chatting about stuff, or we can set together like
154 00:13:53.720 ⇒ 00:13:56.779 Uttam Kumaran: a project document. I’m happy to send you whatever you need.
155 00:13:57.740 ⇒ 00:14:02.070 joshuadeveyra: Because, like the budget is because the one of the projects we did was actually
156 00:14:02.657 ⇒ 00:14:09.600 joshuadeveyra: well, it’s not really I’m not. I’m not sure if it’s worth that much in the Us. But it’s technically, I think, around 900,000 Us. Dollars.
157 00:14:10.070 ⇒ 00:14:10.445 Uttam Kumaran: Okay.
158 00:14:11.290 ⇒ 00:14:12.250 joshuadeveyra: And then like.
159 00:14:12.250 ⇒ 00:14:13.330 Uttam Kumaran: You. It’s a lot. Yeah.
160 00:14:13.330 ⇒ 00:14:15.059 joshuadeveyra: It’s moving forward.
161 00:14:15.290 ⇒ 00:14:17.040 joshuadeveyra: I think it’s 40 million.
162 00:14:17.520 ⇒ 00:14:25.540 joshuadeveyra: And it’s all just to fix their data like this year. Although, yeah, definitely, we can definitely. We won’t be able to catch this year, right so. But.
163 00:14:25.540 ⇒ 00:14:26.429 Uttam Kumaran: Next 3.
164 00:14:26.430 ⇒ 00:14:29.369 joshuadeveyra: Years. This is like 40 million dollars a year budget.
165 00:14:30.270 ⇒ 00:14:31.819 Uttam Kumaran: Who’s currently doing?
166 00:14:32.430 ⇒ 00:14:34.540 Uttam Kumaran: Who’s currently doing data stuff for them.
167 00:14:35.610 ⇒ 00:14:37.074 joshuadeveyra: I am. It’s just.
168 00:14:37.440 ⇒ 00:14:38.290 Uttam Kumaran: There’s no date that.
169 00:14:38.290 ⇒ 00:14:40.949 joshuadeveyra: There’s no data to be honest, it’s just
170 00:14:41.410 ⇒ 00:14:48.229 joshuadeveyra: it’s just you know we don’t, because they don’t even have access to their databases. They lost it. So I’m making it for them.
171 00:14:49.320 ⇒ 00:14:50.700 Uttam Kumaran: Really, okay.
172 00:14:53.380 ⇒ 00:14:54.330 joshuadeveyra: So. But yeah.
173 00:14:54.330 ⇒ 00:14:58.450 Uttam Kumaran: That would be the biggest thing is like, yeah, we should. Yeah. Loot me in. And
174 00:14:58.744 ⇒ 00:15:04.820 Uttam Kumaran: you know, whatever. I’m even happy to give you advice or whatever we need to start. And then, yeah, let’s see, I mean.
175 00:15:04.830 ⇒ 00:15:14.040 Uttam Kumaran: and also if we’re working together, then the lovely thing is like, if you’re if you want to learn data and how to do all the stuff that we do, happy to bring you onto our team. And
176 00:15:14.080 ⇒ 00:15:18.670 Uttam Kumaran: you know I hire people from all across the world basically for data stuff.
177 00:15:19.040 ⇒ 00:15:25.369 Uttam Kumaran: And I think, like the one thing that I love is like, you know, you’re you’re basically doing engineering, you’re doing like automation engineering.
178 00:15:25.540 ⇒ 00:15:29.649 Uttam Kumaran: So it’s it’s similar. It’s a lot of sequel, you know. So
179 00:15:30.140 ⇒ 00:15:30.680 Uttam Kumaran: yeah.
180 00:15:31.079 ⇒ 00:15:35.079 joshuadeveyra: The database I use there is Mongo Mongo. Yeah.
181 00:15:35.430 ⇒ 00:15:36.343 Uttam Kumaran: Okay. Okay.
182 00:15:37.060 ⇒ 00:15:41.589 joshuadeveyra: I’m terrible at SQL. Like I went to college.
183 00:15:42.100 ⇒ 00:15:46.250 joshuadeveyra: I I don’t always like yeah, find me anything else that doesn’t use select.
184 00:15:46.860 ⇒ 00:15:50.680 Uttam Kumaran: Really, I I basically live and breathe. SQL.
185 00:15:51.240 ⇒ 00:15:53.000 joshuadeveyra: I think. Get me.
186 00:15:53.000 ⇒ 00:15:56.609 Uttam Kumaran: I like sleep. I I dream, and like SQL, that’s it.
187 00:15:58.042 ⇒ 00:16:08.280 joshuadeveyra: But but yeah, I mean, data is, you know, you can always hire someone. But cause I was thought I developed it like to an early 22 or late, mid 22,
188 00:16:08.440 ⇒ 00:16:11.909 joshuadeveyra: and then I was fairly new to back end. And then I was like.
189 00:16:12.050 ⇒ 00:16:14.350 joshuadeveyra: cause. That’s like the main concern of, you know.
190 00:16:15.250 ⇒ 00:16:18.839 Uttam Kumaran: Yeah, you want the, I mean, the data thing is all on reporting. Right? Like.
191 00:16:18.950 ⇒ 00:16:24.909 Uttam Kumaran: yeah, you you want, like, if the reporting comes second, like the applications need to work. First, st you know.
192 00:16:26.370 ⇒ 00:16:28.130 joshuadeveyra: It’s probably honesty.
193 00:16:28.960 ⇒ 00:16:31.750 joshuadeveyra: Yeah, I think the the big caveat, though.
194 00:16:32.000 ⇒ 00:16:33.550 joshuadeveyra: is that
195 00:16:35.070 ⇒ 00:16:45.139 joshuadeveyra: I’m not sure if foreign companies are allowed without. I think you guys need. If ever you, you will need to have a company in the Philippines, a representative, and that.
196 00:16:45.140 ⇒ 00:16:46.369 Uttam Kumaran: Yeah, so that’s.
197 00:16:46.370 ⇒ 00:16:47.470 joshuadeveyra: Has to partner.
198 00:16:48.280 ⇒ 00:17:00.592 Uttam Kumaran: Yeah. So the so so the other thing is, I have you know I’m connected to some family, and particularly, I have one cousin in India who is doing a lot of government. Ngo, like he’s working with
199 00:17:00.970 ⇒ 00:17:09.359 Uttam Kumaran: he’s working. He’s working with Indian Government, Sri Lankan government. He’s also working Burma, like in a couple of places. And
200 00:17:09.653 ⇒ 00:17:13.899 Uttam Kumaran: I know sometimes as long as you have a have a company in Asia.
201 00:17:14.384 ⇒ 00:17:21.780 Uttam Kumaran: But also. Yeah, we need to float a company there, you know, again, that’s it. All depends on the opportunity. But for me I’m completely open.
202 00:17:22.140 ⇒ 00:17:30.549 Uttam Kumaran: Send me some send me some links or something I can read, because I want to learn more about like kind of like, what the some of the challenges are, and things like that.
203 00:17:32.194 ⇒ 00:17:40.739 joshuadeveyra: Yeah, sure, let me ask first, st because you know. So it’s government data. I’m not sure if I’m allowed to send it out, maybe I can send out the summary.
204 00:17:41.890 ⇒ 00:17:53.589 Uttam Kumaran: Yeah, yeah, just anything, even even if it’s a pub, even just like anything I can read. If it’s publicly or you know any sort of research I’m I’m always reading kind of like about opportunities like that. So
205 00:17:53.660 ⇒ 00:17:55.010 Uttam Kumaran: always interested.
206 00:17:55.530 ⇒ 00:17:59.419 joshuadeveyra: I think the bid documents are public. But yeah, I’ll have to double check.
207 00:17:59.780 ⇒ 00:18:00.290 joshuadeveyra: because.
208 00:18:00.290 ⇒ 00:18:00.890 Uttam Kumaran: Okay.
209 00:18:01.160 ⇒ 00:18:01.840 Uttam Kumaran: Yeah.
210 00:18:02.266 ⇒ 00:18:05.270 joshuadeveyra: But yeah, you know, that was the one thing I wanted to talk about to talk about.
211 00:18:05.270 ⇒ 00:18:08.430 Uttam Kumaran: Cool. That’s awesome, I know.
212 00:18:10.880 ⇒ 00:18:16.159 Uttam Kumaran: Yeah, I always wanted to go work for companies in Asia and stuff. You know. I’m only us based. But I have a lot of
213 00:18:16.320 ⇒ 00:18:18.660 Uttam Kumaran: connections in India. So.
214 00:18:18.890 ⇒ 00:18:23.289 Uttam Kumaran: but you know it’s again even running a business here is hard enough. So. But
215 00:18:23.910 ⇒ 00:18:30.389 Uttam Kumaran: I was also want to work with smart people like you’re smart, and wherever they are, that’s what I want to go do like
216 00:18:30.720 ⇒ 00:18:33.080 Uttam Kumaran: stuff working for people that aren’t like.
217 00:18:33.170 ⇒ 00:18:36.730 Uttam Kumaran: It’s not working for clients. They just don’t know everything that they want, and
218 00:18:36.810 ⇒ 00:18:38.940 Uttam Kumaran: you know, I don’t know. It’s nice to work with good people.
219 00:18:40.350 ⇒ 00:18:43.679 joshuadeveyra: As long as cause. Like, you’re currently there’s
220 00:18:43.840 ⇒ 00:18:50.139 joshuadeveyra: as long as you know, we’re not working with Chinese people, because, like we had this one. I had this one friend.
221 00:18:50.360 ⇒ 00:18:58.840 joshuadeveyra: He was from mainland China, right. And then we had. I proposed the project with them. And then when we went to Doj, basically our Department of Justice.
222 00:18:59.000 ⇒ 00:19:03.580 joshuadeveyra: It got rejected. Because, you know, I I met with one of the
223 00:19:04.230 ⇒ 00:19:07.120 joshuadeveyra: Assistant secretaries as like, why are we? You know.
224 00:19:07.370 ⇒ 00:19:12.919 joshuadeveyra: why are we making business with people? That’s basically invading our seas? Right? Okay.
225 00:19:12.920 ⇒ 00:19:13.890 Uttam Kumaran: Yeah.
226 00:19:13.890 ⇒ 00:19:14.390 joshuadeveyra: So.
227 00:19:15.210 ⇒ 00:19:18.800 joshuadeveyra: He was my best friend. But you know I was like, you know.
228 00:19:18.800 ⇒ 00:19:22.720 Uttam Kumaran: So you, when when you take work there you have, you have to run through
229 00:19:23.360 ⇒ 00:19:29.169 Uttam Kumaran: like INFOSEC and national security? Or how does it work like, even if you’re working with a company like mine.
230 00:19:33.000 ⇒ 00:19:41.710 joshuadeveyra: because currently, there’s really no flow of security or whatnot like, there’s no imagine it’s just a new country that’s setting things up.
231 00:19:41.740 ⇒ 00:19:45.549 joshuadeveyra: And then, basically, my dad is the one that’s deciding everything.
232 00:19:45.740 ⇒ 00:19:50.809 joshuadeveyra: He’s 1 of the people, right? We all you always need to cut some people above first.st
233 00:19:51.530 ⇒ 00:19:51.965 Uttam Kumaran: Yeah.
234 00:19:53.460 ⇒ 00:19:57.899 joshuadeveyra: But basically, yeah, that’s the entire flow, because no one knows like,
235 00:19:58.400 ⇒ 00:20:05.789 joshuadeveyra: I think one of their early databases was written in vb.net, and they don’t know who made it. Where’s the database and everything? So I said.
236 00:20:05.790 ⇒ 00:20:06.180 Uttam Kumaran: Same.
237 00:20:06.180 ⇒ 00:20:13.019 joshuadeveyra: I found the person who wrote it. There’s 40 million records here, but we can’t access it. I found the person.
238 00:20:13.290 ⇒ 00:20:15.700 joshuadeveyra: Where is he? He’s dead, I was like, so
239 00:20:16.860 ⇒ 00:20:17.719 joshuadeveyra: was written 20.
240 00:20:17.720 ⇒ 00:20:19.300 Uttam Kumaran: No way.
241 00:20:20.105 ⇒ 00:20:20.910 joshuadeveyra: Okay.
242 00:20:20.960 ⇒ 00:20:22.129 joshuadeveyra: I guess I’m starting from.
243 00:20:22.130 ⇒ 00:20:23.300 Uttam Kumaran: Way
244 00:20:23.650 ⇒ 00:20:25.160 Uttam Kumaran: that’s crazy.
245 00:20:25.820 ⇒ 00:20:32.290 Uttam Kumaran: So, but you just work. You kind of. You’re kind of do this sort of automation stuff on the side. And then you’re working on that right?
246 00:20:34.030 ⇒ 00:20:40.070 joshuadeveyra: Well, I’m not really officially a part of that company, because I can’t be because my dad is. You know, it’s a contract.
247 00:20:40.070 ⇒ 00:20:41.100 Uttam Kumaran: Yeah, interest.
248 00:20:41.100 ⇒ 00:20:44.059 joshuadeveyra: So it’s just shell companies within shell companies.
249 00:20:44.450 ⇒ 00:20:47.429 joshuadeveyra: Oh, I shouldn’t probably mention that here, because this is recording.
250 00:20:48.530 ⇒ 00:20:51.797 Uttam Kumaran: This is just going to. I mean, you’re gonna get the notes.
251 00:20:55.595 ⇒ 00:20:57.869 Uttam Kumaran: But that’s interesting. Okay, okay.
252 00:20:57.870 ⇒ 00:20:59.740 joshuadeveyra: AI don’t quote me on that.
253 00:21:03.540 ⇒ 00:21:05.718 joshuadeveyra: Yeah, I think that’s pretty much it.
254 00:21:06.030 ⇒ 00:21:12.318 Uttam Kumaran: Okay, cool. So then let so I think you have the rest. I I sent you follow details.
255 00:21:12.770 ⇒ 00:21:21.116 Uttam Kumaran: let’s so. Can you send me your his details. And then what did you? What did you quote? I didn’t I? I can go check
256 00:21:21.900 ⇒ 00:21:23.839 Uttam Kumaran: the online jobs again.
257 00:21:27.766 ⇒ 00:21:28.800 joshuadeveyra: Sorry! What do you mean?
258 00:21:29.660 ⇒ 00:21:33.310 Uttam Kumaran: I said, I can’t. If you can, send me your wise details.
259 00:21:33.680 ⇒ 00:21:34.080 joshuadeveyra: Oh, yeah.
260 00:21:34.357 ⇒ 00:21:49.039 Uttam Kumaran: And then, like, I I guess, like I, we can either do kind of one or 2 ways. One you can like. Let me know at the end of, you know every month kind of like what hours you worked or we can assume like a certain amount of hours per week.
261 00:21:51.100 ⇒ 00:21:53.140 Uttam Kumaran: like what’s easiest for you.
262 00:21:54.350 ⇒ 00:21:59.530 joshuadeveyra: I thought. I think we agreed on something. Last week before I went I went up.
263 00:21:59.530 ⇒ 00:22:02.019 Uttam Kumaran: Yeah, we agreed on just 20 h per week.
264 00:22:02.020 ⇒ 00:22:05.670 joshuadeveyra: Yeah, 20 h per week, and then I think it was 15, I believe an hour.
265 00:22:05.670 ⇒ 00:22:06.410 Uttam Kumaran: Yes.
266 00:22:06.900 ⇒ 00:22:07.670 joshuadeveyra: Okay. Yeah.
267 00:22:08.470 ⇒ 00:22:11.340 Uttam Kumaran: Okay, cool. So if you just want to send me your wise, then.
268 00:22:11.340 ⇒ 00:22:11.740 joshuadeveyra: Right.
269 00:22:11.740 ⇒ 00:22:12.750 Uttam Kumaran: We do?
270 00:22:13.640 ⇒ 00:22:16.119 Uttam Kumaran: We do contractor payouts
271 00:22:16.160 ⇒ 00:22:17.509 Uttam Kumaran: at the end of every month.
272 00:22:17.900 ⇒ 00:22:18.480 joshuadeveyra: Okay. Okay.
273 00:22:18.480 ⇒ 00:22:20.750 Uttam Kumaran: Yeah. So if that works for you, then
274 00:22:21.760 ⇒ 00:22:22.550 joshuadeveyra: And that works.
275 00:22:23.170 ⇒ 00:22:29.789 Uttam Kumaran: Okay, cool. Then I’ll just kind of set that up to go out this month. Minus the last
276 00:22:30.120 ⇒ 00:22:34.730 Uttam Kumaran: few days you’re on vacation. And then, yeah, that’s that’s mainly it from our side. Honestly.
277 00:22:35.420 ⇒ 00:22:42.359 joshuadeveyra: Okay, I’ll try to get you all the the data about the government projects, probably
278 00:22:43.270 ⇒ 00:22:47.540 joshuadeveyra: probably next week, not by end of week, because I’ll meet my dad over the weekend.
279 00:22:50.620 ⇒ 00:22:52.454 Uttam Kumaran: Yeah, that’d be great like, let’s
280 00:22:53.070 ⇒ 00:22:57.989 Uttam Kumaran: Why don’t I? I’m just gonna start. Why don’t I just start a slack channel in in Brainforge.
281 00:22:58.010 ⇒ 00:23:00.989 Uttam Kumaran: and then you can throw in anything there
282 00:23:01.120 ⇒ 00:23:01.830 Uttam Kumaran: and then.
283 00:23:01.830 ⇒ 00:23:02.819 joshuadeveyra: Case for sure.
284 00:23:02.820 ⇒ 00:23:06.060 Uttam Kumaran: Yeah, I’m definitely interested in talking again. It’s like a
285 00:23:06.590 ⇒ 00:23:13.159 Uttam Kumaran: I’m even like, if if you need help on picking technologies or whatever, let’s make something happen. Dial up.
286 00:23:13.200 ⇒ 00:23:16.559 Uttam Kumaran: I’ll I’ll start a channel. We can keep talking. And then, yeah.
287 00:23:17.140 ⇒ 00:23:18.570 joshuadeveyra: Okay. Yeah. Sounds good.
288 00:23:19.710 ⇒ 00:23:25.930 Uttam Kumaran: Okay, cool, alright. Well, thanks, Miguel. I think you have everything else you need. So let me know. Just slack me. I’ll be online.
289 00:23:26.410 ⇒ 00:23:28.539 joshuadeveyra: Okay, thanks, Utah. Have a good day. Bye-bye.
290 00:23:28.540 ⇒ 00:23:30.640 Uttam Kumaran: Okay. Thank you. Bye.
291 00:23:30.640 ⇒ 00:23:31.400 joshuadeveyra: Thank you. Both.