Meeting Title: BrainView AI Cloud Agent Sync Date: 2026-03-02 Meeting participants: Uttam Kumaran, Awaish Kumar
WEBVTT
1 00:00:17.690 ⇒ 00:00:18.370 Awaish Kumar: Hello.
2 00:00:29.240 ⇒ 00:00:30.130 Awaish Kumar: Hello.
3 00:00:49.370 ⇒ 00:00:50.490 Uttam Kumaran: Hey, dude, can you hear me?
4 00:00:51.110 ⇒ 00:00:52.210 Awaish Kumar: Yeah, thank you.
5 00:00:52.660 ⇒ 00:00:57.040 Uttam Kumaran: Hey, I just wanted to show you, what I was working on.
6 00:00:58.450 ⇒ 00:01:06.449 Uttam Kumaran: So, as I wrote in this doc, I’m sort of working on this, like.
7 00:01:08.400 ⇒ 00:01:14.220 Uttam Kumaran: sort of AI-governed, or, like, more like AI cloud agent.
8 00:01:14.650 ⇒ 00:01:31.380 Uttam Kumaran: I’m starting to work on it, and I kind of wrote down a lot of my thinking here. But basically, like, the way I’m kind of starting this is I’m actually… today, I’m working on our internal dashboards based on HubSpot, Clockify.
9 00:01:31.450 ⇒ 00:01:39.489 Uttam Kumaran: And QuickBooks. And I’m actually basically gonna try and use agents to build the whole thing.
10 00:01:39.620 ⇒ 00:01:46.260 Uttam Kumaran: So what I’ve been doing is I’ve been using cursor agents, actually, this past weekend, quite a bit.
11 00:01:46.400 ⇒ 00:01:57.009 Uttam Kumaran: And basically, all it is, it spins up a VM, and it runs, like, cursor. And so really, like, kind of the core things I’m doing is I’ve actually gone ahead and given it, like,
12 00:01:57.460 ⇒ 00:02:02.159 Uttam Kumaran: for example, all of the various Snowflake credentials it needs.
13 00:02:02.160 ⇒ 00:02:06.669 Awaish Kumar: Right? Like, our account, DB, role, user, warehouse, and the private key.
14 00:02:08.360 ⇒ 00:02:11.280 Uttam Kumaran: so that it can actually execute on Snowflake.
15 00:02:11.440 ⇒ 00:02:19.829 Uttam Kumaran: And then I actually also went through, and today I sort of went through and made sure that I’m actually, like, creating a plan for, basically.
16 00:02:20.190 ⇒ 00:02:31.120 Uttam Kumaran: verifying that Cursor Cloud can access Snowflake, verify that RIL can act… it can use… it can stand up RIL, and then it’s basically gonna go build the entire dbt project itself.
17 00:02:31.350 ⇒ 00:02:35.010 Uttam Kumaran: And I’ve given it a lot of requirements, but it’s sort of…
18 00:02:35.220 ⇒ 00:02:42.449 Uttam Kumaran: created the tickets, and I’m gonna have it go through and, and execute, basically.
19 00:02:42.610 ⇒ 00:02:47.880 Uttam Kumaran: So, to kind of your point, yes. I mean, basically, we have to give the AI these.
20 00:02:47.880 ⇒ 00:02:48.450 Awaish Kumar: Yep.
21 00:02:48.740 ⇒ 00:02:56.109 Uttam Kumaran: But also, like, part of my… my, thing here is that actually a lot of this is actually more of, like.
22 00:02:56.460 ⇒ 00:03:01.489 Uttam Kumaran: on the QA piece, right? Yes, part of it is, like, net new modeling.
23 00:03:01.710 ⇒ 00:03:06.950 Uttam Kumaran: But a lot of where I think we’re gonna be able to stand out is, like, having the QA step be a lot better.
24 00:03:07.280 ⇒ 00:03:08.060 Awaish Kumar: Yes.
25 00:03:10.330 ⇒ 00:03:14.830 Awaish Kumar: And I think that’s… there’s the time-consuming stuff.
26 00:03:15.150 ⇒ 00:03:15.950 Uttam Kumaran: Yes.
27 00:03:18.660 ⇒ 00:03:19.460 Uttam Kumaran: Yeah.
28 00:03:21.600 ⇒ 00:03:26.390 Awaish Kumar: Yeah, I, like, I’m actually kind of doing the same thing lately.
29 00:03:28.020 ⇒ 00:03:34.819 Awaish Kumar: Creating profile, and this service… I actually standardized the connection names for each client, so I…
30 00:03:35.020 ⇒ 00:03:36.280 Awaish Kumar: I don’t have to…
31 00:03:37.590 ⇒ 00:03:44.379 Awaish Kumar: I’ve run into issues with VIN connecting to software, I can just say, use this connection and query, and it works just fine.
32 00:03:47.380 ⇒ 00:03:48.080 Uttam Kumaran: Yes.
33 00:03:52.760 ⇒ 00:03:55.830 Awaish Kumar: But what was that, the other thing that you showed, Rich?
34 00:03:56.220 ⇒ 00:03:59.120 Awaish Kumar: Was that on Brainfoot’s platform, or is it custom…
35 00:03:59.120 ⇒ 00:04:02.029 Uttam Kumaran: No, this… this is, Kurser Cloud.
36 00:04:02.160 ⇒ 00:04:05.920 Uttam Kumaran: So I’ll demo this to you. You should check this out.
37 00:04:06.140 ⇒ 00:04:14.439 Uttam Kumaran: If you go to cursor.com slash agents, basically, you could just start to spin up, like, cloud agents.
38 00:04:14.580 ⇒ 00:04:34.189 Uttam Kumaran: So it’s given, like, its own cloud environment to execute code, and we give it all the end credentials to do things, and it has access to our repo. So I’ve been, you know, shipping code and things like that. Like, for example, I’m gonna… I’m moving… I’m having it work on, like, moving Dagster into the platform repo.
39 00:04:34.530 ⇒ 00:04:38.739 Uttam Kumaran: Right? And so… I kind of wanted it to work on that.
40 00:04:40.300 ⇒ 00:04:42.360 Awaish Kumar: Okay, it’s working directly from cloud.
41 00:04:45.240 ⇒ 00:04:45.920 Uttam Kumaran: Yes.
42 00:04:48.370 ⇒ 00:04:51.029 Awaish Kumar: Okay, that’s interesting.
43 00:04:57.600 ⇒ 00:04:58.260 Uttam Kumaran: Yeah.
44 00:04:58.610 ⇒ 00:05:07.299 Uttam Kumaran: So, kind of what I’m thinking is, like, dude, you could just basically say, like, hey, we have these… we have these requirements to build this dashboard, like, here they are, go ahead and build it.
45 00:05:07.610 ⇒ 00:05:13.410 Uttam Kumaran: And it’ll loop. And so the nice thing about the cloud is, like, you know, cursor, it stops frequently, right?
46 00:05:13.580 ⇒ 00:05:16.929 Uttam Kumaran: This, it, like, runs and runs and runs and runs.
47 00:05:17.160 ⇒ 00:05:19.800 Uttam Kumaran: So, I actually worked on this
48 00:05:20.210 ⇒ 00:05:24.119 Uttam Kumaran: While I was on a walk yesterday.
49 00:05:24.570 ⇒ 00:05:29.340 Uttam Kumaran: So I gave it, like, a huge, context.
50 00:05:29.530 ⇒ 00:05:38.030 Uttam Kumaran: because I was speaking, and then I, it worked for 16 minutes, and, like, looked through all of our various docs, and then put together
51 00:05:38.690 ⇒ 00:05:40.749 Uttam Kumaran: The cloud agent data environment.
52 00:05:42.060 ⇒ 00:05:45.399 Awaish Kumar: Yeah, and yeah, one more thing I’ve been trying to do is…
53 00:05:45.770 ⇒ 00:05:50.099 Awaish Kumar: Actually, writing a good prompt for writing a new model.
54 00:05:50.360 ⇒ 00:05:55.070 Awaish Kumar: Right now, when we write… Like, try to write a new model, it creates…
55 00:05:56.530 ⇒ 00:06:07.190 Awaish Kumar: a mess of the code, right? It sometimes duplicate cities, or don’t use the CDs that can be utilized. It just creates the duplications all over.
56 00:06:07.550 ⇒ 00:06:08.580 Uttam Kumaran: Hmm…
57 00:06:08.990 ⇒ 00:06:14.179 Awaish Kumar: And sometimes it skips the intermediate models, goes too low, and things like that.
58 00:06:14.410 ⇒ 00:06:18.099 Awaish Kumar: I was also trying to create a plan on this, like.
59 00:06:20.590 ⇒ 00:06:25.149 Uttam Kumaran: Yeah, so basically what we can do is we can keep adding guidelines for how to model.
60 00:06:26.120 ⇒ 00:06:30.029 Uttam Kumaran: So that all future agents will be able to use it, you know?
61 00:06:30.030 ⇒ 00:06:35.860 Awaish Kumar: Yeah, same, yeah, like, something like that. So it can just follow the steps.
62 00:06:36.240 ⇒ 00:06:41.029 Awaish Kumar: Like, when you add a model in March, look at the intermediate first, staging.
63 00:06:41.290 ⇒ 00:06:48.090 Awaish Kumar: then go to raw, like, if you find the same fields in the… Intermediate models then don’t…
64 00:06:48.220 ⇒ 00:06:55.479 Awaish Kumar: Actually go to the raw layer and things like that, so it actually follows all the steps that we normally follow.
65 00:06:56.160 ⇒ 00:06:56.880 Uttam Kumaran: Yeah.
66 00:07:06.570 ⇒ 00:07:07.110 Uttam Kumaran: I agree.
67 00:07:07.110 ⇒ 00:07:07.700 Awaish Kumar: Okay.
68 00:07:07.700 ⇒ 00:07:16.449 Uttam Kumaran: So that’s kind of what I’m working on now, and the other thing, dude, is I use Snowflake CLI, and, like, as you can see here.
69 00:07:16.590 ⇒ 00:07:20.890 Uttam Kumaran: I had it go look through, hey, go check out what’s in raw.
70 00:07:21.520 ⇒ 00:07:32.759 Uttam Kumaran: go profile all the tables, and then think about, like, what’s the best way to model. But I gave it a lot of the requirements I had for the dashboard, and then it… it built out the modeling plan.
71 00:07:33.160 ⇒ 00:07:34.730 Uttam Kumaran: So it’s really, really good.
72 00:07:36.080 ⇒ 00:07:36.960 Awaish Kumar: Yeah.
73 00:07:38.240 ⇒ 00:07:39.829 Awaish Kumar: Yeah, I also…
74 00:07:42.570 ⇒ 00:07:48.449 Awaish Kumar: kind of doing the same thing, like, I’m… I just don’t have… sometimes I get into things, and then…
75 00:07:50.290 ⇒ 00:07:51.509 Uttam Kumaran: No, I mean, it takes…
76 00:07:51.800 ⇒ 00:07:55.889 Awaish Kumar: When it’s time to stabilize things, then we just lose that, like…
77 00:07:56.000 ⇒ 00:07:59.280 Awaish Kumar: Yesterday, when I was, like, had to go through all that.
78 00:07:59.600 ⇒ 00:08:04.200 Awaish Kumar: doc file from Catherine, and then her Excel files.
79 00:08:04.310 ⇒ 00:08:08.709 Awaish Kumar: and the data. So I used all of that to come up with a…
80 00:08:09.440 ⇒ 00:08:19.219 Awaish Kumar: a similar kind of a plan. But, yeah, when it comes to actually standardizing that, I think there’s something where I need to improve myself.
81 00:08:20.240 ⇒ 00:08:21.400 Uttam Kumaran: Yeah, yeah, yeah.
82 00:08:38.340 ⇒ 00:08:42.949 Uttam Kumaran: I mean, that’s what I’m… I’m trying, so… I’m gonna see if this can build
83 00:08:43.090 ⇒ 00:08:49.010 Uttam Kumaran: our stuff, end-to-end, and then I’ll… I’ll hand it to you. I’ll show you how… I’ll show you… I’m, like, debugging…
84 00:08:49.160 ⇒ 00:08:56.550 Uttam Kumaran: Because basically, it needs to be able to connect to Snowflake, run dbt, run RIL, all within a VM.
85 00:08:56.710 ⇒ 00:08:57.550 Uttam Kumaran: You know?
86 00:08:58.830 ⇒ 00:08:59.620 Uttam Kumaran: So…
87 00:08:59.620 ⇒ 00:09:07.509 Awaish Kumar: I’ve been thinking of, actually, running all those commands, To initialize the snowflake.
88 00:09:07.880 ⇒ 00:09:08.400 Awaish Kumar: Well.
89 00:09:08.400 ⇒ 00:09:08.860 Uttam Kumaran: Yeah.
90 00:09:09.090 ⇒ 00:09:11.669 Awaish Kumar: We don’t actually have to go into the UI.
91 00:09:12.180 ⇒ 00:09:13.849 Uttam Kumaran: No, dude, that’s also what I’m doing.
92 00:09:14.600 ⇒ 00:09:17.649 Awaish Kumar: Okay. All of that is in there, in the platform right now.
93 00:09:17.740 ⇒ 00:09:23.799 Uttam Kumaran: So… Show me all the Snowflake setup scripts.
94 00:09:23.980 ⇒ 00:09:25.520 Uttam Kumaran: 4 new clients.
95 00:09:44.280 ⇒ 00:09:48.910 Uttam Kumaran: Yeah, so if you go look at these, there’s all these setup scripts here.
96 00:09:49.950 ⇒ 00:09:52.899 Awaish Kumar: Oh, okay, and we are going to run it through Synostia, right?
97 00:09:53.330 ⇒ 00:09:54.050 Uttam Kumaran: Yes.
98 00:09:57.780 ⇒ 00:09:59.820 Uttam Kumaran: Go check these, go check,
99 00:10:00.350 ⇒ 00:10:02.619 Uttam Kumaran: Yeah, go check these out, I’ll send it to you.
100 00:10:04.180 ⇒ 00:10:11.220 Uttam Kumaran: I wrote all these, and I tried it. I ran this for CTA, and then I ran it for ours, and then I ran it for Element.
101 00:10:42.420 ⇒ 00:10:45.639 Uttam Kumaran: Yeah, I’m hopeful we can do it all through the CLI, basically.
102 00:10:46.320 ⇒ 00:10:47.010 Awaish Kumar: Okay.
103 00:10:48.930 ⇒ 00:10:49.670 Awaish Kumar: Hmm.
104 00:10:53.100 ⇒ 00:10:56.619 Awaish Kumar: Do you like the discussion more, or Cloud Accord?
105 00:10:58.680 ⇒ 00:11:00.830 Uttam Kumaran: What do you mean?
106 00:11:00.970 ⇒ 00:11:02.850 Uttam Kumaran: Like, this versus this.
107 00:11:04.680 ⇒ 00:11:08.460 Awaish Kumar: No, no, I mean the… the cloud code, like, the one…
108 00:11:08.930 ⇒ 00:11:10.080 Uttam Kumaran: Oh, Codex?
109 00:11:10.780 ⇒ 00:11:12.330 Uttam Kumaran: Or, oh, Cloud Code.
110 00:11:14.900 ⇒ 00:11:21.590 Uttam Kumaran: I don’t know, I think… I like… I like cursor, because you could do both, like, you could… you could…
111 00:11:21.690 ⇒ 00:11:24.159 Uttam Kumaran: I like it because you can be, like, really precise.
112 00:11:25.620 ⇒ 00:11:28.100 Uttam Kumaran: And then for everything else, I’m gonna start using this.
113 00:11:28.710 ⇒ 00:11:32.990 Uttam Kumaran: And the nice thing is you could actually click off Cloud Agents here.
114 00:11:33.100 ⇒ 00:11:36.799 Uttam Kumaran: So I can say cloud, and I can kick it off from here.
115 00:11:37.150 ⇒ 00:11:41.059 Uttam Kumaran: And then that way, I don’t have to worry about my local branches.
116 00:11:42.370 ⇒ 00:11:48.339 Uttam Kumaran: And so, for example, I have a lot… if I’m like, hey, go, like, work on this, and I don’t care how long it takes.
117 00:11:48.490 ⇒ 00:11:51.359 Uttam Kumaran: I could just send it here, and it’ll just start building them.
118 00:11:51.980 ⇒ 00:11:55.440 Uttam Kumaran: Versus, like, one by one by one I have to do, you know?
119 00:11:58.700 ⇒ 00:11:59.649 Awaish Kumar: Okay, yep.
120 00:12:10.960 ⇒ 00:12:11.740 Uttam Kumaran: Cool.
121 00:12:11.840 ⇒ 00:12:14.030 Uttam Kumaran: What are you, what are you still working on?
122 00:12:15.870 ⇒ 00:12:19.170 Awaish Kumar: Right now, I’m working on CTA,
123 00:12:21.850 ⇒ 00:12:25.610 Awaish Kumar: I just finished the… the code he sent me.
124 00:12:26.130 ⇒ 00:12:31.120 Awaish Kumar: There was some, like, attendance flags and a little bit of modification.
125 00:12:31.350 ⇒ 00:12:33.530 Awaish Kumar: on the modeling piece that I’m working on.
126 00:12:33.800 ⇒ 00:12:37.970 Awaish Kumar: congestion of all those governance… Files?
127 00:12:39.420 ⇒ 00:12:40.410 Uttam Kumaran: Hmm.
128 00:12:40.410 ⇒ 00:12:41.220 Awaish Kumar: she showed.
129 00:12:41.420 ⇒ 00:12:47.760 Awaish Kumar: last Friday, and… I also asked, like, the data for CS registration, I saw it’s just an old.
130 00:12:48.170 ⇒ 00:12:53.640 Awaish Kumar: So, I think she opened her, and she has upgraded it, so we need to readjust that.
131 00:12:54.460 ⇒ 00:12:58.550 Awaish Kumar: And after that, I will be able to… like, basically…
132 00:13:00.260 ⇒ 00:13:05.059 Awaish Kumar: complete modeling from… from the things which I have the info, take them
133 00:13:05.750 ⇒ 00:13:12.960 Awaish Kumar: I have all the inputs from CTA. There are a few open things, like Fortune 500 flags and interbound flags.
134 00:13:13.680 ⇒ 00:13:18.890 Awaish Kumar: Which she said she also don’t know. We have to figure out together what’s going to be…
135 00:13:19.680 ⇒ 00:13:20.790 Awaish Kumar: Like, the best solution.
136 00:13:25.370 ⇒ 00:13:26.390 Uttam Kumaran: Okay, okay.
137 00:13:28.920 ⇒ 00:13:32.530 Awaish Kumar: Yeah, for those, I need to maybe create Asana tickets, so I…
138 00:13:32.940 ⇒ 00:13:37.340 Awaish Kumar: pumped my message to, Kyle, maybe I will get the access.
139 00:13:38.060 ⇒ 00:13:38.920 Uttam Kumaran: Okay.
140 00:13:42.250 ⇒ 00:13:45.189 Awaish Kumar: Yeah, and then I’m also starting,
141 00:13:46.160 ⇒ 00:13:49.419 Awaish Kumar: modeling for element, Ecom modeling.
142 00:13:50.190 ⇒ 00:13:50.870 Awaish Kumar: Right.
143 00:13:51.840 ⇒ 00:13:52.460 Uttam Kumaran: Okay.
144 00:13:53.030 ⇒ 00:13:55.459 Awaish Kumar: We have Shopify data, and that’s…
145 00:13:55.710 ⇒ 00:13:58.179 Awaish Kumar: kind of model. They’re also from…
146 00:13:58.320 ⇒ 00:14:01.129 Awaish Kumar: Few machine pieces there for e-com, and then maybe…
147 00:14:01.530 ⇒ 00:14:05.040 Awaish Kumar: We can go with first summary view, similar to wholesale.
148 00:14:05.450 ⇒ 00:14:07.549 Awaish Kumar: That’s where we can start for ECOM.
149 00:14:08.170 ⇒ 00:14:08.780 Uttam Kumaran: Okay.
150 00:14:11.530 ⇒ 00:14:12.740 Awaish Kumar: That’s the plan.
151 00:14:14.540 ⇒ 00:14:17.239 Uttam Kumaran: Okay, cool, dude. Yeah, if you can keep…
152 00:14:17.500 ⇒ 00:14:23.639 Uttam Kumaran: I’m working as hard as I can to try to get some of this AI stuff, so that hopefully your life gets a little bit easier.
153 00:14:23.930 ⇒ 00:14:27.779 Uttam Kumaran: So, yeah, this should be a big week, so…
154 00:14:28.350 ⇒ 00:14:28.950 Awaish Kumar: Yeah.
155 00:14:32.990 ⇒ 00:14:45.030 Uttam Kumaran: And then also, I know, like, your one year’s coming up, Demi just came, so we’ll have… we’ll be sharing something for sure sometime in the next week or two for everybody hitting their, like, one year. So, just,
156 00:14:45.220 ⇒ 00:14:47.759 Uttam Kumaran: Give me a little bit of time, we’re working on it right now.
157 00:14:53.330 ⇒ 00:14:55.839 Awaish Kumar: Yeah, it has been a great year.
158 00:14:56.390 ⇒ 00:15:04.759 Uttam Kumaran: I appreciate it, dude. I also think it’s been… it’s been really, really amazing. I’m just so proud that people even want to work here for a year.
159 00:15:05.360 ⇒ 00:15:10.890 Uttam Kumaran: But, I don’t know, I’m like… I’m curious, like, what your, like.
160 00:15:11.850 ⇒ 00:15:16.239 Uttam Kumaran: it’s… I feel like it’s so different now than what it was, you know, last year, right?
161 00:15:16.990 ⇒ 00:15:17.930 Awaish Kumar: Yes.
162 00:15:18.910 ⇒ 00:15:19.570 Uttam Kumaran: Yeah.
163 00:15:20.360 ⇒ 00:15:21.609 Uttam Kumaran: So, so different.
164 00:15:22.690 ⇒ 00:15:26.359 Awaish Kumar: Yeah, it’s very different, but, like… I think it’s.
165 00:15:27.910 ⇒ 00:15:31.089 Uttam Kumaran: Getting better, like, we were, like, really…
166 00:15:31.090 ⇒ 00:15:34.810 Awaish Kumar: When I was… I joined BrainView, I was not using AI that much.
167 00:15:35.150 ⇒ 00:15:40.710 Awaish Kumar: So, in terms of, development speed and optimizing things.
168 00:15:40.870 ⇒ 00:15:42.779 Awaish Kumar: Like, we are getting better at that.
169 00:15:45.050 ⇒ 00:15:45.780 Uttam Kumaran: Yeah.
170 00:15:49.590 ⇒ 00:15:50.360 Awaish Kumar: No.
171 00:15:52.920 ⇒ 00:15:57.040 Uttam Kumaran: Yeah, I agree. I mean, I’m excited that we’re gonna bring on more people, you know, and…
172 00:15:57.860 ⇒ 00:16:01.429 Uttam Kumaran: More of our time can go to training them up.
173 00:16:05.040 ⇒ 00:16:08.109 Awaish Kumar: Like, how much we are looking to hire in our data.
174 00:16:08.600 ⇒ 00:16:09.420 Awaish Kumar: Do you…
175 00:16:10.310 ⇒ 00:16:12.859 Uttam Kumaran: At least another 2 or 3 people right now.
176 00:16:15.870 ⇒ 00:16:17.890 Awaish Kumar: Okay, Mike, do we have any…
177 00:16:18.560 ⇒ 00:16:23.539 Awaish Kumar: more clients coming up? Like, right now, we just have CTA Element and Magic Response, there are…
178 00:16:23.780 ⇒ 00:16:26.740 Awaish Kumar: really the big… and leading four crimes.
179 00:16:27.590 ⇒ 00:16:31.220 Uttam Kumaran: Yeah, we are, so we have several new SOWs out.
180 00:16:31.540 ⇒ 00:16:34.790 Uttam Kumaran: But also, for Element, we’re gonna be expanding.
181 00:16:35.140 ⇒ 00:16:38.239 Awaish Kumar: The Elamin is gonna be probably bigger than Eden, I think.
182 00:16:40.540 ⇒ 00:16:41.220 Awaish Kumar: Yeah.
183 00:16:41.740 ⇒ 00:16:43.410 Uttam Kumaran: Yeah, that’s my guess.
184 00:16:52.340 ⇒ 00:16:57.160 Awaish Kumar: Are we looking at someone… like, like, with someone with…
185 00:16:57.830 ⇒ 00:17:05.780 Awaish Kumar: expert with BI tools for relevant, like… Who can lose… Omni, different jobs and all.
186 00:17:05.780 ⇒ 00:17:11.800 Uttam Kumaran: Mainly… mainly Omni, probably, but more looking for analysts.
187 00:17:12.900 ⇒ 00:17:15.280 Uttam Kumaran: like Amber, like Robert.
188 00:17:17.140 ⇒ 00:17:24.859 Awaish Kumar: He, like, I don’t know if, like, if Amber has worked as an analyst before, but, like…
189 00:17:25.440 ⇒ 00:17:29.270 Awaish Kumar: Dashboarding charts, like, the very complex ones.
190 00:17:29.750 ⇒ 00:17:33.560 Awaish Kumar: someone with that experience will be nice on Element, because, I don’t know…
191 00:17:34.070 ⇒ 00:17:36.699 Awaish Kumar: Maybe she won’t even need all those kind of charts.
192 00:17:37.120 ⇒ 00:17:37.900 Uttam Kumaran: Yeah.
193 00:17:40.100 ⇒ 00:17:47.429 Uttam Kumaran: No, I mean, yeah, we definitely need… I mean, we need someone on VI, but most of it, I think, is gonna be analysis.
194 00:17:47.690 ⇒ 00:17:49.720 Uttam Kumaran: That’s the hardest part, you know?
195 00:17:50.260 ⇒ 00:17:50.870 Awaish Kumar: Yeah.
196 00:18:00.870 ⇒ 00:18:04.369 Awaish Kumar: Are we bringing in also an Omnitool soon? Because we haven’t…
197 00:18:04.850 ⇒ 00:18:08.609 Awaish Kumar: I don’t know, we… I think we have invested a lot in Google Sheets now.
198 00:18:10.070 ⇒ 00:18:13.140 Uttam Kumaran: No, we are, so Greg is gonna be doing Omni this month.
199 00:18:13.740 ⇒ 00:18:14.580 Uttam Kumaran: For them.
200 00:18:16.800 ⇒ 00:18:17.810 Uttam Kumaran: Yeah.
201 00:18:33.760 ⇒ 00:18:36.910 Awaish Kumar: By the way, I’m an UE, and I’m stuck here.
202 00:18:37.030 ⇒ 00:18:39.449 Uttam Kumaran: Oh my god, no way!
203 00:18:40.020 ⇒ 00:18:40.620 Awaish Kumar: Yeah.
204 00:18:40.620 ⇒ 00:18:41.760 Uttam Kumaran: Are you serious?
205 00:18:41.790 ⇒ 00:18:43.690 Awaish Kumar: I just got the alert.
206 00:18:44.150 ⇒ 00:18:46.000 Uttam Kumaran: Where are you? Where in UAE?
207 00:18:48.090 ⇒ 00:18:52.450 Awaish Kumar: I’m living in, like… In kind of bulldo way, which is…
208 00:18:53.970 ⇒ 00:18:55.040 Uttam Kumaran: Near Dubai?
209 00:18:56.380 ⇒ 00:19:02.320 Awaish Kumar: I’m in Dubai, and it is an area called Buray, which is kind of… more…
210 00:19:03.620 ⇒ 00:19:05.969 Awaish Kumar: More of, like, really a Britain.
211 00:19:06.170 ⇒ 00:19:08.739 Awaish Kumar: Area where usually Indian-Pakistani live.
212 00:19:09.640 ⇒ 00:19:10.690 Uttam Kumaran: Mmm…
213 00:19:14.830 ⇒ 00:19:16.439 Uttam Kumaran: Oh, board Dubai.
214 00:19:16.610 ⇒ 00:19:17.260 Awaish Kumar: Yeah.
215 00:19:18.000 ⇒ 00:19:22.690 Uttam Kumaran: Oh, okay, you know, I visited… I stayed near Jumeirah last time.
216 00:19:22.970 ⇒ 00:19:27.199 Awaish Kumar: Hey, That’s really in trouble right now.
217 00:19:27.820 ⇒ 00:19:28.980 Uttam Kumaran: Oh my god.
218 00:19:29.380 ⇒ 00:19:30.000 Awaish Kumar: It’s…
219 00:19:33.610 ⇒ 00:19:36.200 Uttam Kumaran: That’s crazy, dude, I didn’t know that you were there.
220 00:19:37.350 ⇒ 00:19:37.780 Awaish Kumar: Yes.
221 00:19:37.780 ⇒ 00:19:43.630 Uttam Kumaran: Because I was gonna text you and Mustafa, but I was like, okay, maybe you guys are… Knock…
222 00:19:43.970 ⇒ 00:19:45.970 Uttam Kumaran: Involved as much.
223 00:19:47.380 ⇒ 00:19:54.119 Awaish Kumar: Yeah, Karachi… yeah, but in Karachi, it’s safe. It’s a bit better, like, still…
224 00:19:54.610 ⇒ 00:19:57.230 Awaish Kumar: There are some rifts going on, but…
225 00:19:57.230 ⇒ 00:20:02.149 Uttam Kumaran: I saw, like, in Karachi, is it near the U.S. Embassy? There’s, like, some issues?
226 00:20:02.150 ⇒ 00:20:05.250 Awaish Kumar: You must be… U.S. Consulate.
227 00:20:05.650 ⇒ 00:20:06.080 Uttam Kumaran: Yeah.
228 00:20:06.080 ⇒ 00:20:08.850 Awaish Kumar: I don’t know what is going on, like, I…
229 00:20:09.260 ⇒ 00:20:11.119 Awaish Kumar: But still, there are no, like.
230 00:20:11.380 ⇒ 00:20:13.850 Awaish Kumar: Look at some missions going on, right?
231 00:20:14.670 ⇒ 00:20:15.250 Uttam Kumaran: Yeah…
232 00:20:15.470 ⇒ 00:20:20.780 Awaish Kumar: And you are safe indoors. We’re here, I just got an alert from you.
233 00:20:22.640 ⇒ 00:20:27.350 Awaish Kumar: Government on my mobile, that… just to keep… Take the shelter.
234 00:20:29.430 ⇒ 00:20:30.920 Uttam Kumaran: Oh, it’s crazy.
235 00:20:42.380 ⇒ 00:20:43.370 Awaish Kumar: Bad timing.
236 00:20:44.370 ⇒ 00:20:45.270 Uttam Kumaran: I know
237 00:21:10.210 ⇒ 00:21:14.890 Uttam Kumaran: Okay, dude, I’m gonna continue on this, but yeah, stay safe, man. Sorry to hear that.
238 00:21:15.500 ⇒ 00:21:17.520 Uttam Kumaran: When are you planning on going back?
239 00:21:18.210 ⇒ 00:21:22.320 Awaish Kumar: Yeah, like, the air space is closed, so as soon as it opens.
240 00:21:22.600 ⇒ 00:21:23.830 Uttam Kumaran: Oh my gosh.
241 00:21:25.700 ⇒ 00:21:26.830 Uttam Kumaran: It’s crazy.
242 00:21:30.720 ⇒ 00:21:31.390 Awaish Kumar: Yeah.
243 00:21:33.730 ⇒ 00:21:35.120 Uttam Kumaran: Okay, alright.
244 00:21:35.590 ⇒ 00:21:37.409 Uttam Kumaran: Let me know if you need anything.
245 00:21:38.610 ⇒ 00:21:39.640 Awaish Kumar: Sure, thank you.
246 00:21:39.990 ⇒ 00:21:41.000 Uttam Kumaran: Okay, bye.