Meeting Title: AI Engineering Networking Chat Date: 2025-07-31 Meeting participants: Uttam Kumaran, sai kumar
WEBVTT
1 00:00:56.470 ⇒ 00:00:57.580 Uttam Kumaran: Hey, Cy.
2 00:01:12.960 ⇒ 00:01:13.880 Uttam Kumaran: can you hear me?
3 00:03:06.720 ⇒ 00:03:07.850 sai kumar: Thanks.
4 00:03:08.260 ⇒ 00:03:09.160 Uttam Kumaran: How are you?
5 00:03:09.160 ⇒ 00:03:10.729 sai kumar: I’m doing good. How are you?
6 00:03:10.730 ⇒ 00:03:16.336 Uttam Kumaran: Good sorry about the delay, and I know maybe we can grab another time
7 00:03:16.970 ⇒ 00:03:20.140 Uttam Kumaran: later this week. But yeah, thanks for hopping on.
8 00:03:20.600 ⇒ 00:03:22.520 sai kumar: Yeah. Sure. No worries.
9 00:03:23.050 ⇒ 00:03:24.250 Uttam Kumaran: How’s everything?
10 00:03:25.770 ⇒ 00:03:28.540 sai kumar: Hang there. It’s still. Thursday. Yeah.
11 00:03:28.930 ⇒ 00:03:33.040 Uttam Kumaran: Nice. You’re you’re here in Austin.
12 00:03:34.151 ⇒ 00:03:40.420 sai kumar: I’m based out of Austin working. But I’m currently in Dallas. I’m working remotely. But yeah.
13 00:03:41.150 ⇒ 00:03:46.129 sai kumar: maybe sometime we find some time catch up in Austin, too.
14 00:03:46.320 ⇒ 00:03:48.286 Uttam Kumaran: Yeah, no. Things are good.
15 00:03:48.790 ⇒ 00:03:54.663 Uttam Kumaran: I’m busy as usual. So it’s it’s good that we’re growing a lot of our clients. And
16 00:03:55.520 ⇒ 00:03:59.579 Uttam Kumaran: yeah, we’re I’m just looking for.
17 00:03:59.900 ⇒ 00:04:09.319 Uttam Kumaran: you know, just to connect with more people that are in doing AI stuff here in Austin and hear about engineers that are working on stuff. So yeah, I just wanted to connect.
18 00:04:11.056 ⇒ 00:04:12.530 sai kumar: Okay. Okay.
19 00:04:14.353 ⇒ 00:04:19.699 Uttam Kumaran: Yeah, I guess I’m kind of curious about like kind of the stuff you’re doing now. I saw, like some of the
20 00:04:20.313 ⇒ 00:04:26.490 Uttam Kumaran: Llm. Work that you’re doing right now, like curious about what what it is or what it entails.
21 00:04:27.603 ⇒ 00:04:48.780 sai kumar: okay, okay, as far as the current work. I’m currently working on with some, you know the bfi domain where you know what we have to automate the lot of manual process that are being done by the analysts. Based on the alerts they get with some AI agent stuff
22 00:04:49.300 ⇒ 00:04:57.657 sai kumar: and the backend. Mll Nlp pipelines. That’s what I’m currently working on. And
23 00:04:58.800 ⇒ 00:05:13.180 sai kumar: regarding the AI. I’ve worked several projects on. You know, the last project was, my, you know, building some Amcp AI agents to scrape the social media chatter based on the the company.
24 00:05:13.330 ⇒ 00:05:27.359 sai kumar: Okay, if it’s something. The last time. What I was doing was some pilot program where we were scraping the data that’s related to Nike or Jordan, or some kind of a shoe company.
25 00:05:28.100 ⇒ 00:05:42.729 sai kumar: So based on the keywords we were just scraping out of that, and built a pipeline to retrieve the data and apply some Nlp techniques, and then, you know, get some insights
26 00:05:44.232 ⇒ 00:05:52.880 sai kumar: and recommends recommendations based on the social chatter that has been happening to the different kind of end users like a product team or a
27 00:05:53.210 ⇒ 00:05:56.689 sai kumar: and testing team or a different kinds of team. Right?
28 00:05:57.120 ⇒ 00:06:01.409 sai kumar: So that was my recent work. And
29 00:06:01.800 ⇒ 00:06:16.699 sai kumar: previously I worked with the Llms. Deploying the Mpt and llama models and the Openai whisper models and the Aws instances. And I was part of
30 00:06:17.866 ⇒ 00:06:23.930 sai kumar: you know, integrating the end to end speech processing
31 00:06:24.180 ⇒ 00:06:46.420 sai kumar: AI speech processing where you know, we kind of analyze the conversations between the customer and the agent and then evaluate the performance of an agent and creating the Qaqc. Dashboards. The quality assurance and cus quality control of the agents that we will provide to the Vpo service vpo agents, clients.
32 00:06:47.704 ⇒ 00:07:02.020 sai kumar: Yeah. Most of my stuff revolves around automating the manual work that has been existing in sectors like the Ppo services or or the Pfsi background companies. Clients.
33 00:07:02.800 ⇒ 00:07:03.435 sai kumar: Yeah.
34 00:07:06.060 ⇒ 00:07:06.580 Uttam Kumaran: Okay.
35 00:07:06.580 ⇒ 00:07:14.090 Uttam Kumaran: great, I mean, like, what? And so kind of tell me about like, are you trying to do more AI stuff, longer term, or like. What are you kind of interested in.
36 00:07:14.820 ⇒ 00:07:18.150 sai kumar: Oh, yeah, yeah, I’m I’m just
37 00:07:18.300 ⇒ 00:07:36.409 sai kumar: getting my experience into the AI engineering stuff. Building rag models. Currently, I’m exist. Currently, I’m just working with the rag model with the Pg vector that I’m just integrating with the Pfsi space
38 00:07:36.920 ⇒ 00:07:37.665 sai kumar: and
39 00:07:38.580 ⇒ 00:07:49.467 sai kumar: and I’m apparently working on some kind of our Pocs where we are trying to develop the digital assistance or digital workers based out of the Mcp and Agente frameworks.
40 00:07:50.090 ⇒ 00:07:55.670 sai kumar: And yeah, I’m I’m interested in these AI genetic stuff.
41 00:07:56.230 ⇒ 00:08:09.840 sai kumar: And I’ll be in this space for you know, for coming for years. And I’m yeah. I’m more interested in this automating. These lot of manual workflows. With the help of these AI engineering stuff. Yeah.
42 00:08:09.840 ⇒ 00:08:11.590 Uttam Kumaran: Okay?
43 00:08:12.030 ⇒ 00:08:35.395 Uttam Kumaran: Nice. Yeah. I mean what we’re we’re starting to, you know, work with several clients across AI where we’re building chat bots, rag systems, agentic systems, agentic workflows. You know, starting to use a lot of different systems to do that. And also like growing our team. You know, most of our clients are here in the in the Us. And our team is about 15 people. We’re all completely remote.
44 00:08:36.010 ⇒ 00:08:41.889 Uttam Kumaran: yeah, it start. My background is in data engineering. I sort of started this company primarily focused on data.
45 00:08:41.990 ⇒ 00:08:46.660 Uttam Kumaran: And then, more recently, we started also doing a lot of AI work for for clients.
46 00:08:47.550 ⇒ 00:08:57.070 sai kumar: Okay, so you’re trying to build the voice agents, or what kind of a chat box are you kind of trying to build.
47 00:08:57.540 ⇒ 00:09:09.710 Uttam Kumaran: Yeah, I would say, a lot of our stuff is probably more complicated than like kind of the stuff that’s like being sent all around Linkedin and Twitter like we’re building pretty significant agents that, like help
48 00:09:09.810 ⇒ 00:09:29.519 Uttam Kumaran: kind of augment either project management, or augment like revenue operations. So part of that could be document. Intelligence could be you know, more like scraping but also like summarization, and like human in the loop, related workflows. It’s kind of case by case.
49 00:09:30.930 ⇒ 00:09:40.889 Uttam Kumaran: but our goal is to, you know, kind of provide really clear outcomes for our clients where they can have like measurable impact, or they prevent, you know, an additional hire for their team.
50 00:09:42.820 ⇒ 00:09:49.749 sai kumar: Okay, that sounds interesting. So which which domain are you currently focused on something like a banking or.
51 00:09:51.240 ⇒ 00:09:52.669 sai kumar: what what kind of a.
52 00:09:53.050 ⇒ 00:09:58.830 Uttam Kumaran: Yeah, we’ve done a lot of work in like B, 2 B saas e-commerce and healthcare.
53 00:09:59.327 ⇒ 00:10:02.902 Uttam Kumaran: That seems to probably be like our core verticals. We’re not really
54 00:10:03.590 ⇒ 00:10:04.100 Uttam Kumaran: We haven’t
55 00:10:04.100 ⇒ 00:10:12.399 Uttam Kumaran: like specialize much beyond that. But you know, we’ve we’ve worked with almost like 40 plus clients at this point. So sort of a little bit all over the place.
56 00:10:12.946 ⇒ 00:10:15.370 Uttam Kumaran: But probably more focused in that area.
57 00:10:18.569 ⇒ 00:10:22.930 sai kumar: Okay, okay, that’s now.
58 00:10:24.800 ⇒ 00:10:33.039 sai kumar: yeah, maybe little bit more of our information on the enforce would have more questions on that yeah.
59 00:10:34.530 ⇒ 00:11:00.340 Uttam Kumaran: Yeah, I mean, I I know I have to. I know we’re almost at 2 o’clock. I do have to run. But yeah, I would love to like, get coffee or or do something in case you’re you’re around, or in case I’m in Dallas, we’re happy just to reschedule to to another time, and just hear a little bit more about what you’re working on. And just curious, like, if you’re if you’re currently like, interested in new opportunities or interested in kind of moving teams. Something that’s like, much more AI focus like application focused.
60 00:11:00.740 ⇒ 00:11:21.389 sai kumar: Yeah, yeah, that would be a good thing to discuss on. Yeah. And yeah, I’m currently looking for the new opportunities. But to be honest. I am under a visa. The I’m a student. So I’m currently on f 1. So.
61 00:11:21.390 ⇒ 00:11:22.220 Uttam Kumaran: Oh, okay.
62 00:11:22.270 ⇒ 00:11:27.590 sai kumar: My hedge fund will be processed, will start from October, so
63 00:11:28.470 ⇒ 00:11:37.659 sai kumar: after only after that I’ll be able to. You know some kind of take this new opportunities, or move along to the other company till then.
64 00:11:37.900 ⇒ 00:11:39.230 sai kumar: Second time.
65 00:11:39.230 ⇒ 00:11:41.919 Uttam Kumaran: Yeah, I mean, we’d still love to to be in touch, regardless.
66 00:11:41.920 ⇒ 00:11:42.329 sai kumar: Yeah.
67 00:11:42.740 ⇒ 00:11:47.490 Uttam Kumaran: Happy to connect you with anyone on our team, and just keep chatting and be helpful how I can. You know.
68 00:11:48.170 ⇒ 00:11:54.059 sai kumar: Yeah, yeah, this is, yeah, that that would be helpful. And
69 00:11:54.460 ⇒ 00:12:13.219 sai kumar: yeah, meanwhile, I can be. You know, we can chat. We can have some conversations that build around what products that you guys are currently focused on. And to more about what your clientele and your client wants regarding the AI and stuff. Yeah, then, maybe. Yeah, I’ll be able to
70 00:12:13.380 ⇒ 00:12:19.920 sai kumar: be more open to the new opportunities or see where I can fit in the current company current. Team.
71 00:12:20.490 ⇒ 00:12:21.759 sai kumar: okay, okay, perfect.
72 00:12:22.030 ⇒ 00:12:27.779 Uttam Kumaran: Okay, well, thank you for the time. Sorry again about the scheduling issues. And yeah, I’ll message you on Linkedin, and we can grab another time.
73 00:12:28.370 ⇒ 00:12:30.170 sai kumar: Yeah, sure. Sure. With them.
74 00:12:30.170 ⇒ 00:12:30.570 Uttam Kumaran: Okay.
75 00:12:30.570 ⇒ 00:12:31.570 sai kumar: Have a great day.
76 00:12:31.570 ⇒ 00:12:32.759 Uttam Kumaran: Thank you, you, too. Bye.
77 00:12:33.180 ⇒ 00:12:33.880 sai kumar: Bye.