Meeting Title: Brainforge-Intern-Meet-&-Greet-+-Kickoff! Date: 2024-06-12 Meeting participants: Uttam Kumaran, Priyadharshini Aravindan, Jared Patterson, Shankar Krishna Varma
WEBVTT
1 00:03:30.820 ⇒ 00:03:31.729 Uttam Kumaran: Hey, guys.
2 00:03:32.290 ⇒ 00:03:32.990 Uttam Kumaran: it.
3 00:03:37.470 ⇒ 00:03:39.470 Shankar Krishna Varma: Hey! Hi! Tom! How are you?
4 00:03:39.870 ⇒ 00:03:40.270 Uttam Kumaran: Egg.
5 00:03:40.980 ⇒ 00:03:41.469 Uttam Kumaran: as a guy.
6 00:03:41.815 ⇒ 00:03:42.160 JARED PATTERSON: Love.
7 00:03:43.420 ⇒ 00:03:45.460 Shankar Krishna Varma: Yeah, all good, all good. You.
8 00:03:47.100 ⇒ 00:03:48.160 Uttam Kumaran: Good
9 00:03:49.408 ⇒ 00:03:54.890 Uttam Kumaran: I think everybody should be here. I think just
10 00:03:57.550 ⇒ 00:04:00.279 Uttam Kumaran: star may be having some
11 00:04:00.360 ⇒ 00:04:04.998 Uttam Kumaran: issues. He said. He’s traveling a little bit. But this
12 00:04:05.440 ⇒ 00:04:08.809 Uttam Kumaran: this is everyone on the squad for this summer.
13 00:04:09.263 ⇒ 00:04:22.706 Uttam Kumaran: So I for the most part talk to everyone. I think, Priya. Maybe we can catch up as well today. But I think I’ve given everybody the basics on what the plan is for the summer.
14 00:04:23.170 ⇒ 00:04:34.569 Uttam Kumaran: I again. I think everybody is coming from different backgrounds. Jared is coming from like an Econ background. Akshay is kind of coming from a Mechi background.
15 00:04:34.869 ⇒ 00:04:47.330 Uttam Kumaran: I know Priya. You’ve worked kind of in this space a little bit before and I know a barb is kind of coming from like a technical background. But everybody’s here to kind of learn about data and kind of
16 00:04:47.674 ⇒ 00:05:10.710 Uttam Kumaran: one. My goal is to give you guys as much experience as possible and as wide, as wide of array of real problems as possible, and then also for branding forge to, you know, move our agenda forward and kind of accomplish some of our goals. So I know everybody has. Like a wide array of interest, and so ideally, my goal is to make sure that
17 00:05:10.710 ⇒ 00:05:21.119 Uttam Kumaran: you know in the time that each of you have with us each week is really well organized. Then. You have tasks that you can work on on your own, and then there’s opportunities that come
18 00:05:21.485 ⇒ 00:05:29.300 Uttam Kumaran: work directly with me. And then also everybody’s paired up with people internally. Who will be open to answering questions. The big.
19 00:05:29.470 ⇒ 00:05:34.209 Uttam Kumaran: I guess before that. Maybe I’ll just have everybody kind of go around. I’ve given a little bit
20 00:05:34.290 ⇒ 00:05:37.930 Uttam Kumaran: have an intro of everybody. But if you each of you guys want to go around, just give
21 00:05:38.180 ⇒ 00:05:42.515 Uttam Kumaran: like a 2 second spiel about who you are, and
22 00:05:43.390 ⇒ 00:05:50.930 Uttam Kumaran: your background, and then I’ll kind of go into tasks for this week. And then I’m just have some housekeeping things to talk about so
23 00:05:52.977 ⇒ 00:05:55.359 Uttam Kumaran: Jared, maybe you wanna go first.st
24 00:05:55.930 ⇒ 00:05:59.613 JARED PATTERSON: Yeah. Sure. Hi, guys, Jared.
25 00:06:00.770 ⇒ 00:06:12.930 JARED PATTERSON: I guess. Unlike you guys, I’m not sure. But I think I’m the only one that’s graduated already. I think most of these people are probably most you guys are probably like still in school. I’m not too sure, though Bootam can.
26 00:06:13.240 ⇒ 00:06:13.670 Uttam Kumaran: Like everyone.
27 00:06:13.670 ⇒ 00:06:14.080 JARED PATTERSON: Brilliant.
28 00:06:14.080 ⇒ 00:06:16.790 Uttam Kumaran: I think everyone’s kind of a mix, I know.
29 00:06:16.850 ⇒ 00:06:24.650 Uttam Kumaran: Actually, you’re kind of on like semester leave. I know Priya is is graduated, and then Otharv is still in school, so everybody’s kind of like all over.
30 00:06:24.650 ⇒ 00:06:36.130 JARED PATTERSON: Okay, alright perfect. Yeah. So I like mentioned, I graduated with the degree in economics, with minors, in data, analytics and entrepreneurial studies.
31 00:06:36.370 ⇒ 00:06:43.530 JARED PATTERSON: So that’s kind of why I’ve grown so interested in this field, and why Odom’s doing with Brain Forge.
32 00:06:44.138 ⇒ 00:06:53.089 JARED PATTERSON: I’m Canadian. I live in Ottawa, Canada. But I’m actually moving in New York City for a full time job in July. But yeah, just happy to get started and
33 00:06:53.390 ⇒ 00:06:57.949 JARED PATTERSON: looking to learn from everyone at Brain Forge. And you guys included. So thank you.
34 00:07:00.290 ⇒ 00:07:01.738 Shankar Krishna Varma: I’m great thanks, Jared.
35 00:07:04.643 ⇒ 00:07:07.080 Uttam Kumaran: Cool. Maybe it’s Shankar. Do you want to go next.
36 00:07:07.440 ⇒ 00:07:21.089 Shankar Krishna Varma: So yeah, I was. I was graduated, and then I I was working with and then right now and then. I have pretty good experience in data engineering and then data analyzation. So I have done even with the reporting.
37 00:07:21.410 ⇒ 00:07:37.219 Shankar Krishna Varma: So I have dealt with many, many projects and many other clients. And we, I have even delivered a lot other things with data prep and data cleansing kind of stuff. And also the transformations with
38 00:07:37.250 ⇒ 00:08:00.589 Shankar Krishna Varma: multiple components. So mostly, I have used 90% of all the Gcp components which are related to data so and other than Gcp. Also, I have worked with some of their tools, with some of the tools that comes with reporting and all. And I also was experience with back end development on Apis. And then python coding. Yeah, that is pretty much brief about me.
39 00:08:04.642 ⇒ 00:08:13.239 Uttam Kumaran: Shocker. We’ll also maybe we can catch up today. I don’t know when you’re gonna be signing off, but if you have some time, maybe next few hours. Let me know.
40 00:08:13.240 ⇒ 00:08:21.558 Shankar Krishna Varma: Yeah, I will just check because I was. I was, I mean for our time. I started around 7, 30, and then it was already more than 1212, and of us, so I’ll I’ll.
41 00:08:21.790 ⇒ 00:08:22.460 Uttam Kumaran: Okay. Okay.
42 00:08:23.620 ⇒ 00:08:25.350 Uttam Kumaran: Okay, man, we could talk tomorrow. Then.
43 00:08:25.350 ⇒ 00:08:26.150 Shankar Krishna Varma: Yeah, yeah.
44 00:08:26.830 ⇒ 00:08:27.450 Uttam Kumaran: Okay.
45 00:08:28.288 ⇒ 00:08:30.080 Uttam Kumaran: Priya, do you wanna go next.
46 00:08:30.932 ⇒ 00:08:48.597 Priyadharshini Aravindan: Yeah. Hi, hiutham. Hi, Jared, Hi, shankar. Yeah, I graduated in manufacturing engineering. It’s kind of more mechanical field. And then, I I’ve been working on and off. I’ve been working with Cts and head seal
47 00:08:49.608 ⇒ 00:09:11.391 Priyadharshini Aravindan: I mean, it has been very long time since I did some programming. So I’m brushing up my programming skills. I’m learning python and my SQL. Week, currently. And before this, I’ve been working as a research analyst. I was doing more of market research, gap, analysis and all. And
48 00:09:12.290 ⇒ 00:09:20.039 Priyadharshini Aravindan: yeah, that’s pretty much. But I’m currently learning my SQL. And python to make myself
49 00:09:20.659 ⇒ 00:09:25.490 Priyadharshini Aravindan: more into this data. science and data analytics.
50 00:09:27.880 ⇒ 00:09:28.760 Uttam Kumaran: Looking
51 00:09:30.033 ⇒ 00:09:32.300 Uttam Kumaran: and then Akshay, do you wanna go
52 00:09:39.460 ⇒ 00:09:40.190 Uttam Kumaran: call
53 00:09:43.070 ⇒ 00:09:44.530 Uttam Kumaran: you? I think
54 00:09:59.670 ⇒ 00:10:00.949 Uttam Kumaran: actually, I can hear me.
55 00:10:09.180 ⇒ 00:10:11.950 Uttam Kumaran: I’m trying to get some button right here. I’m sorry.
56 00:10:18.330 ⇒ 00:10:20.000 Uttam Kumaran: Hold on! 99,
57 00:10:21.006 ⇒ 00:10:22.119 Uttam Kumaran: one second.
58 00:10:22.630 ⇒ 00:10:26.100 Shankar Krishna Varma: No, he was just saying that he was. Whether he was audible.
59 00:10:26.380 ⇒ 00:10:27.270 Shankar Krishna Varma: The chart.
60 00:10:28.170 ⇒ 00:10:29.010 Uttam Kumaran: Ultimately.
61 00:10:29.760 ⇒ 00:10:31.390 Uttam Kumaran: we’re a lot of judges.
62 00:10:33.130 ⇒ 00:10:34.470 Uttam Kumaran: That is our license
63 00:10:34.720 ⇒ 00:10:35.470 Uttam Kumaran: visible.
64 00:10:35.580 ⇒ 00:10:36.280 Uttam Kumaran: That’s just.
65 00:10:37.900 ⇒ 00:10:40.809 Shankar Krishna Varma: I think actually just ping whether he was the audible.
66 00:10:41.630 ⇒ 00:10:42.519 Uttam Kumaran: How’s it now?
67 00:10:42.560 ⇒ 00:10:47.169 Shankar Krishna Varma: Right? No, because we can hear you, I think. With the action.
68 00:10:47.170 ⇒ 00:10:49.130 Uttam Kumaran: I can hear you now. I can hear you now.
69 00:10:50.120 ⇒ 00:10:51.957 Uttam Kumaran: Oh, okay, okay.
70 00:10:52.570 ⇒ 00:10:57.144 Shankar Krishna Varma: I was just pulling in the group chart that an audible. I think it was.
71 00:10:57.470 ⇒ 00:10:59.490 Shankar Krishna Varma: he’s having the problem with Mike.
72 00:11:00.110 ⇒ 00:11:00.790 Shankar Krishna Varma: Yep.
73 00:11:02.620 ⇒ 00:11:03.260 Shankar Krishna Varma: in Eastern.
74 00:11:03.260 ⇒ 00:11:05.546 Uttam Kumaran: Yeah, Chad, we can’t hear anything from your side.
75 00:11:05.840 ⇒ 00:11:08.349 Uttam Kumaran: but for most hardware, 25 option.
76 00:11:08.360 ⇒ 00:11:09.460 Uttam Kumaran: that’s a
77 00:11:12.005 ⇒ 00:11:24.479 Uttam Kumaran: join and come back. I think the big things I wanted to chat about. So Priya and Chunkar, I’ll kind of call you. I’ll chunk, or maybe I’ll set up some time with you tomorrow. And then, Priya, if you maybe if you have some time
78 00:11:24.690 ⇒ 00:11:30.950 Uttam Kumaran: after this meeting, we can just talk briefly. But I basically have gone through notion
79 00:11:31.060 ⇒ 00:11:32.320 Uttam Kumaran: with everybody.
80 00:11:33.540 ⇒ 00:11:35.159 Uttam Kumaran: Actually, can you hear us now?
81 00:11:36.240 ⇒ 00:11:37.380 Uttam Kumaran: And I’ll replace
82 00:11:39.330 ⇒ 00:11:40.589 Uttam Kumaran: maybe same issue.
83 00:11:43.632 ⇒ 00:11:55.920 Uttam Kumaran: So we’re basically, I’ve I’ve shared everybody with like this notion page. And we’re basically internally using notion for as much documentation as possible. So solely, we’ll be kind of
84 00:11:55.930 ⇒ 00:12:24.890 Uttam Kumaran: improving this area a part of what I need help from each of you guys on is actually a lot of documentation on the way we learn and the way we do processes. So a lot of my asks this summer will be to help me do some writing. And then kind of, as you guys learn, basically putting together these documents. So that next people that come join brain break can learn as well. But in this, Doc, you know, pretty basic. I think the biggest thing is, if you guys can go and fill out your own profile here.
85 00:12:25.190 ⇒ 00:12:44.709 Uttam Kumaran: For each person, I basically we’ve kind of gone through. So I know. Thanks, Jared, and I know Tar did this as well. But you guys don’t mind just having everything here filled out that way. I can send your profile information to people and then begin to kind of schedule things. The main thing that’s really helpful is just your working hours.
86 00:12:44.710 ⇒ 00:12:54.050 Uttam Kumaran: I know for the most part we talk that everybody is going to be working, basically like until noon or one central time.
87 00:12:54.611 ⇒ 00:13:18.769 Uttam Kumaran: But then I know, Jared, you’re available throughout the day. So ideally, I’m gonna have meetings kind of in the morning. Where our team needs to get together. And then the folks on India time. You guys will be able to work. Whenever you guys get time and we have people all across the world that bring forth. So this is kind of like. Basically, we try to have meetings in the morning. So it’s evening or morning, wherever you are.
88 00:13:18.770 ⇒ 00:13:45.420 Uttam Kumaran: and then most of our work. Hopefully, you’ll be able to do on your own, and we’ll just come back to discuss the things for this week. One is I wanted to agree on like one on one times with me each week on Mondays, preferably. So I’m just gonna begin putting time on everybody’s calendar just like 15 to 30 min check in just to make sure that each of you have everything you need, and we can kind of plan out the week. So I’m gonna go set those up
89 00:13:45.925 ⇒ 00:14:01.734 Uttam Kumaran: again. Those will be in the morning. The second thing that I talked to everybody about is for Friday, so I’m going to add everyone right now to a meeting on Friday. This is our internal team meeting.
90 00:14:02.350 ⇒ 00:14:03.720 Uttam Kumaran: and
91 00:14:04.885 ⇒ 00:14:07.347 Uttam Kumaran: I’ll be adding, you guys
92 00:14:08.389 ⇒ 00:14:17.050 Uttam Kumaran: I’ll be adding, you guys to this going forward every Friday? We basically just have everyone present like work they’ve done. That’s interesting during the week.
93 00:14:17.414 ⇒ 00:14:31.085 Uttam Kumaran: And then, of course, this week. You guys are actually the interesting folks that everybody will be meeting. So for this week. It’d be great if you can prepare 5 slides about you. I’ve kind of talked to most of the folks about this, but I think
94 00:14:31.680 ⇒ 00:15:00.232 Uttam Kumaran: for Shankar and for Pria. Basically, what we’re doing is just preparing 5 slides, which is just 5. Google slides. Anything about you? Can be like your background, like what you like to do, what you’re interested in doing data, and just basically just allowing everybody to get to know you. And then the other thing to work on this week, which we’ll be discussing a bit in slack on is which disciplines you wanna focus on so if you see in each of your
95 00:15:00.780 ⇒ 00:15:02.300 Uttam Kumaran: in each of your
96 00:15:02.743 ⇒ 00:15:10.900 Uttam Kumaran: pages. There’s like a primary and secondary discipline. Basically, you know, for the most part, people have anywhere from one to 2 months. And
97 00:15:10.900 ⇒ 00:15:35.760 Uttam Kumaran: it’s really hard to learn this stuff in 2 months, let alone one month. But we’re gonna try to give you guys all the resources that you need to kind of make this happen? But ideally it would be great if each of you could choose 2 disciplines between AI data, engineering, analytics, engineering and data analysis to work on. I’ll be sending over, you know, additional information on each of those. So you guys can make a decision.
98 00:15:35.760 ⇒ 00:15:48.040 Uttam Kumaran: But on Monday that’s what I’m hoping to chat with each of you about is which 2 areas you want to focus on for the summer. I know I’ve spoken to everybody, and during our conversations we’ll basically chat about this.
99 00:15:48.329 ⇒ 00:16:11.519 Uttam Kumaran: We’ll chat about this anyways. But that would be the best thing to kinda get done by Monday. I’m gonna starting to send things to slack already. I know I’ve been sending some stuff to Jared already this morning, and we’ll begin to kind of connect you with mentors. So that’s the big thing for this week. So not too heavy. We’re gonna begin working on like curriculum and things to learn.
100 00:16:12.153 ⇒ 00:16:36.800 Uttam Kumaran: So just hang tight as we kind of make all that possible. And then on Monday, ideally, we’re able to all agree on like which disciplines we wanna work on and then begin to schedule meetings. And then overall this summer. It’s gonna be a mix of a couple of things. So one is, I definitely want you to spend time with me and spend time with folks in the team. In the respective disciplines. Second thing, I’m gonna be bringing in speaker
101 00:16:36.800 ⇒ 00:16:50.110 Uttam Kumaran: and people that work in each of those disciplines. To kind of talk. These are just friends of mine that I rely on to learn a lot of these different situations. So that’ll be really great. And then the last thing is project. So as you guys get
102 00:16:50.110 ⇒ 00:17:02.350 Uttam Kumaran: different curriculum and work through different programs and workshops. We’ll agree on like one to 2 projects. That you could kind of work on and would be actually through our typical workflow.
103 00:17:02.710 ⇒ 00:17:17.820 Uttam Kumaran: typically, we work on a what’s called an agile process where you get assigned work. It’s kind of scoped out. And then you’re able to work on that and deliver that and you’ll be working with Nico, who’s our project manager? And basically like the goal of. There isn’t really like
104 00:17:17.819 ⇒ 00:17:33.100 Uttam Kumaran: this. Work isn’t. Gonna even if you know, it’s just to get make sure that you can watch how actual engineering team works, but also work with our project management structure. Understand? Like, how we do daily stand ups and things like that, and understand how it’s like to work on an engineering team.
105 00:17:33.150 ⇒ 00:17:35.452 Uttam Kumaran: So those are the things that I’ll be
106 00:17:36.110 ⇒ 00:17:43.210 Uttam Kumaran: we working on. So is there anything else that we want to chat about
107 00:17:44.215 ⇒ 00:17:45.020 Uttam Kumaran: today?
108 00:17:45.420 ⇒ 00:17:47.899 Uttam Kumaran: It’ll be basically a 3 3 scenario
109 00:17:48.120 ⇒ 00:17:51.984 Uttam Kumaran: or to split. I’ll do 3 days or 3 or 4 days. Of course.
110 00:17:55.900 ⇒ 00:17:58.100 Shankar Krishna Varma: I think I don’t have anything from my side.
111 00:17:58.480 ⇒ 00:17:59.160 Shankar Krishna Varma: Okay.
112 00:18:01.590 ⇒ 00:18:20.340 Uttam Kumaran: If not, then I think maybe we can adjourn early, I think. Jared, and you are talking later today. Priya, maybe if you wanna stay on the line. Maybe we can chat briefly, and then, Shankar. I’ll grab some time with me and you tomorrow.
113 00:18:21.165 ⇒ 00:18:29.290 Shankar Krishna Varma: I can continue now. I mean, I was planning for this for next 30 min more. So I can also, if you need.
114 00:18:29.860 ⇒ 00:18:35.254 Uttam Kumaran: Okay. So maybe like I’ll maybe I’ll just chat with Priya, and then I’ll give you. I’ll slack you when
115 00:18:36.134 ⇒ 00:18:41.135 Uttam Kumaran: when we’re off that, and then I’ll give you the call.
116 00:18:42.150 ⇒ 00:18:58.140 Uttam Kumaran: Okay, cool, if nothing else. Then, Jared, I know we’re talking later. Today. Actually, I’m gonna send some stuff in slack, so you’ll have it, and then I think everybody has a good plan again. Please make sure just to fill out each of your profiles, and then work on the 5 slides. I’ll be
117 00:18:58.180 ⇒ 00:19:02.961 Uttam Kumaran: chatting with everybody tomorrow. About getting that prepared, so
118 00:19:03.710 ⇒ 00:19:04.550 Uttam Kumaran: may have.
119 00:19:04.550 ⇒ 00:19:05.680 JARED PATTERSON: Sounds good. Yeah.
120 00:19:06.820 ⇒ 00:19:07.580 JARED PATTERSON: Okay.
121 00:19:07.580 ⇒ 00:19:11.386 Uttam Kumaran: Thanks everyone, Priya. If you wanna stay on the line we can stay here.
122 00:19:12.040 ⇒ 00:19:13.150 Shankar Krishna Varma: Thanks, thanks, all.
123 00:19:13.450 ⇒ 00:19:15.650 Uttam Kumaran: On Tuesday.
124 00:19:15.650 ⇒ 00:19:17.479 Priyadharshini Aravindan: Bye, Shankar, Byjar.
125 00:19:17.990 ⇒ 00:19:18.470 Uttam Kumaran: Hey!
126 00:19:18.950 ⇒ 00:19:22.790 Shankar Krishna Varma: And I have taps open on this page.
127 00:19:22.790 ⇒ 00:19:25.573 Uttam Kumaran: Hear it. No problem.
128 00:19:27.372 ⇒ 00:19:28.740 Uttam Kumaran: Yeah, thanks a lot.
129 00:19:29.916 ⇒ 00:19:33.964 Uttam Kumaran: Hi, Priya, nice to talk to you again.
130 00:19:34.470 ⇒ 00:19:35.990 Priyadharshini Aravindan: Hi! How are you?
131 00:19:36.570 ⇒ 00:19:37.760 Uttam Kumaran: Good! How are you?
132 00:19:37.760 ⇒ 00:19:38.250 Priyadharshini Aravindan: I’m good.
133 00:19:38.250 ⇒ 00:19:39.260 Uttam Kumaran: People.
134 00:19:40.073 ⇒ 00:19:44.379 Uttam Kumaran: Great! I know we didn’t get a chance to talk yesterday, so I’m I’m glad like.
135 00:19:44.380 ⇒ 00:19:51.499 Priyadharshini Aravindan: Yeah, I I was quite busy. I got held up because I have my sister visiting from Singapore.
136 00:19:51.893 ⇒ 00:19:53.860 Uttam Kumaran: Oh, no problem, no problem.
137 00:19:54.230 ⇒ 00:19:56.313 Priyadharshini Aravindan: Yeah. So I just checked
138 00:19:57.190 ⇒ 00:19:58.470 Uttam Kumaran: We’re not part of that.
139 00:19:59.380 ⇒ 00:20:03.769 Uttam Kumaran: Yeah, though, big thing is just make sure you can get into notion your email and all set up
140 00:20:04.000 ⇒ 00:20:12.909 Priyadharshini Aravindan: Yeah, yeah, though, I I logged into. I’m setting up my profile page. I just went through it so it’ll be done by tomorrow. My.
141 00:20:12.910 ⇒ 00:20:13.970 Uttam Kumaran: All African.
142 00:20:14.090 ⇒ 00:20:30.806 Uttam Kumaran: Okay, yeah. The big, the big things I just wanted to chat about was one like, what’s your typical like availability? And if and like, kind of like, what are the what’s the start and end period? For the most part, everybody is like, I think, between like right now and like end of August.
143 00:20:31.110 ⇒ 00:20:31.840 Priyadharshini Aravindan: Madam. Yeah.
144 00:20:32.293 ⇒ 00:20:33.200 Uttam Kumaran: Understand, like.
145 00:20:33.360 ⇒ 00:20:45.669 Priyadharshini Aravindan: I’m available I mean, I can. I’m available from next week. Also typically morning, 8 to evening 4.
146 00:20:46.920 ⇒ 00:20:48.583 Uttam Kumaran: Okay, what you’re saying.
147 00:20:49.746 ⇒ 00:20:53.433 Uttam Kumaran: So that’s that’s 8 before your time.
148 00:20:53.960 ⇒ 00:20:55.120 Priyadharshini Aravindan: Yeah, 8 to 4.
149 00:20:55.670 ⇒ 00:20:56.319 Priyadharshini Aravindan: Me, yeah.
150 00:20:56.320 ⇒ 00:20:57.100 Uttam Kumaran: Wisconsin.
151 00:20:57.100 ⇒ 00:21:06.159 Priyadharshini Aravindan: 8 to 8 to 2, 8 to 2, 30, and again some 3, 30 to 5, 30 also
152 00:21:07.010 ⇒ 00:21:08.110 Priyadharshini Aravindan: want to be treated.
153 00:21:08.320 ⇒ 00:21:10.595 Uttam Kumaran: Okay. And and that’s all, is T.
154 00:21:10.920 ⇒ 00:21:12.190 Priyadharshini Aravindan: All I ask is.
155 00:21:12.570 ⇒ 00:21:13.954 Uttam Kumaran: Okay. Okay. Great. Okay.
156 00:21:14.300 ⇒ 00:21:15.830 Priyadharshini Aravindan: I’m based out of China.
157 00:21:16.100 ⇒ 00:21:16.640 Uttam Kumaran: Okay.
158 00:21:17.217 ⇒ 00:21:27.212 Uttam Kumaran: and then I know cause. Sometimes we may have some of these meetings around this time. I will try not to have any meetings after like 10 Am. Central time, because I know it’s late. There.
159 00:21:27.770 ⇒ 00:21:42.620 Priyadharshini Aravindan: I’ll be mostly able to accommodate all these time. I mean within that. What I say. Before 9 of the 4 10 I’ll be able to accommodate after 10 becomes a problem, because I have to take care of the kids. Also.
160 00:21:42.913 ⇒ 00:21:55.226 Uttam Kumaran: Yeah, yeah, yeah, totally. So this all again, there’ll probably just be like anytime between, like, there probably won’t be meetings after this time. So between 6, 30 and 8 30 is where I’m gonna try to have all the meetings and
161 00:21:55.520 ⇒ 00:21:57.240 Priyadharshini Aravindan: Yeah, that would actually.
162 00:21:57.240 ⇒ 00:21:58.886 Uttam Kumaran: Coordinate. Okay?
163 00:22:00.190 ⇒ 00:22:26.309 Uttam Kumaran: And the the big thing I wanted to kind of get is like, I know it mentioned. You mentioned that you’re very interested in doing things on the data analysis side. But we also kind of I want to get everybody to if you have time to at least focus on 2 different areas between AI data, engineering, analytics, engineering and data analysis. Is there anything outside of data analysis that you know you would be interested in, or if
164 00:22:26.310 ⇒ 00:22:32.709 Uttam Kumaran: I’m also gonna share information about each of those areas. So don’t need to make the decision right now. But.
165 00:22:34.049 ⇒ 00:22:46.629 Priyadharshini Aravindan: I mean, I would love to do the AI part, but it’s kind of overwhelming for me like I didn’t get a hold of it yet. So but I would love to do the AI part.
166 00:22:47.730 ⇒ 00:22:55.429 Uttam Kumaran: Okay, cool. So let’s focus on that. I mean, we have a lot of even for me. It’s brand new. So that’s the fun part about
167 00:22:55.570 ⇒ 00:23:02.149 Uttam Kumaran: AI is that like, we’ll be kind of learning a lot together. However, we do have a lot of internal use cases for automation.
168 00:23:02.551 ⇒ 00:23:10.720 Uttam Kumaran: And I selfishly think this is that’s the coolest area cause. I mean, I know all the other areas. But I think there’s a lot of opportunity there.
169 00:23:11.171 ⇒ 00:23:28.869 Uttam Kumaran: That being said, like all the materials for all the other areas will be available. So even if you don’t get able to work in that, you’ll have all the materials and curriculum and everything. So it’s not like a huge decision. But basically, I I’m hoping to have at least one person
170 00:23:29.537 ⇒ 00:23:31.329 Uttam Kumaran: in every area.
171 00:23:31.940 ⇒ 00:23:55.959 Uttam Kumaran: But ideally, I also think about what we need at Brainforge. The big things that we need are on the AI and the analysis side. So that’s perfect. Kind of where you’re at and then the other thing I mentioned to the team is like on Friday there is a call with the team. This is actually gonna be. It’s actually gonna be at 10 pm. Your time. But ideally, I’m gonna move that kind of backwards.
172 00:23:56.560 ⇒ 00:24:05.230 Uttam Kumaran: but this is what I I wanted everybody to prepare for, like 5 Google slides about themselves. Are you able to do that? Does that make sense.
173 00:24:05.430 ⇒ 00:24:09.670 Priyadharshini Aravindan: Yeah, th, that shouldn’t be a problem. Tomorrow I would be able to do that.
174 00:24:10.680 ⇒ 00:24:16.648 Uttam Kumaran: Okay, perfect. Yeah, that’s just a quick like icebreaker. But also everybody gets to know everybody. And
175 00:24:17.000 ⇒ 00:24:40.839 Uttam Kumaran: yeah, it’s now big team rates, 4 of us, and there’ll be almost like 6 or 6 or 7 people in Brain Forge. So I think it’s nice just to give everybody introduction. You know, I just I found it. I we did this at a previous company. So it’s just helpful to get everybody understood. And yeah, I mean, I think the way we’re gonna kind of start things is I’m working on the curriculum for
176 00:24:40.840 ⇒ 00:25:01.219 Uttam Kumaran: both AI and for data analysis. Ideally, on the data analysis side, I’m gonna pair you up with, someone we have internally, who’s really, really doing a great job on analysis piece and we’re gonna start to decide on what project we wanna work on for this month? Additionally, you’ll have access to all the tools and
177 00:25:01.571 ⇒ 00:25:20.858 Uttam Kumaran: basically, all the workflows and documentation that we have. There will be a lot, you know, to do. So I’m really excited to kind of have you know your time, and I I appreciate you taking the time. And yeah, I guess if there do you have any questions for me or anything I can answer while
178 00:25:21.620 ⇒ 00:25:22.620 Uttam Kumaran: probably. Yeah.
179 00:25:22.910 ⇒ 00:25:26.109 Priyadharshini Aravindan: These projects are the projects that you’re working currently on right.
180 00:25:26.110 ⇒ 00:25:45.330 Uttam Kumaran: Yeah. So so there’ll be. So the projects will be a mix of things we need internally, and maybe some things we need for clients. Everything will be happening underneath someone. At the company. Because I’m I’m working on like I’ll be spending. I’m spending a lot of my time on sales and larger company. So you’ll be paired with somebody who’s working directly for a client
181 00:25:45.706 ⇒ 00:25:58.449 Uttam Kumaran: and basically shadowing them and picking on tasks that they need that way you have someone directly to work with. But yes, ideally. These are all things that go directly to client, or are helpful for us internally.
182 00:25:59.170 ⇒ 00:25:59.890 Priyadharshini Aravindan: Arsenal.
183 00:25:59.890 ⇒ 00:26:00.989 Uttam Kumaran: Maybe they’re approving
184 00:26:01.160 ⇒ 00:26:02.500 Uttam Kumaran: pause. I believe.
185 00:26:02.500 ⇒ 00:26:04.690 Priyadharshini Aravindan: I think I’ve never
186 00:26:04.730 ⇒ 00:26:07.700 Priyadharshini Aravindan: no, no, no, please please fire me
187 00:26:07.980 ⇒ 00:26:10.852 Priyadharshini Aravindan: 5 min. Welcome.
188 00:26:11.810 ⇒ 00:26:12.570 Uttam Kumaran: Wired
189 00:26:13.110 ⇒ 00:26:15.479 Uttam Kumaran: if I can listen. Vp. Asterisk
190 00:26:16.290 ⇒ 00:26:17.410 Uttam Kumaran: all of August
191 00:26:17.930 ⇒ 00:26:19.130 Uttam Kumaran: set up for
192 00:26:19.340 ⇒ 00:26:20.110 Uttam Kumaran: which is
193 00:26:20.500 ⇒ 00:26:21.350 Uttam Kumaran: from Zoom.
194 00:26:23.200 ⇒ 00:26:24.550 Uttam Kumaran: I think it has to.
195 00:26:25.470 ⇒ 00:26:27.400 Priyadharshini Aravindan: Yeah, sorry. That was my kid.
196 00:26:27.870 ⇒ 00:26:28.509 Uttam Kumaran: No problem.
197 00:26:29.030 ⇒ 00:26:29.815 Priyadharshini Aravindan: Yeah,
198 00:26:30.600 ⇒ 00:26:31.230 Uttam Kumaran: You’ll come once.
199 00:26:31.230 ⇒ 00:26:43.549 Priyadharshini Aravindan: Yeah, that was pretty much my question like, is it the projects that you’re currently working on that we use the map? That is what I wanted to understand, and everything has a a timeline.
200 00:26:44.880 ⇒ 00:26:46.090 Uttam Kumaran: Yeah, everything will happen.
201 00:26:46.090 ⇒ 00:26:47.179 Priyadharshini Aravindan: That’s a thing on the platform.
202 00:26:47.430 ⇒ 00:26:48.200 Priyadharshini Aravindan: Yeah.
203 00:26:48.580 ⇒ 00:26:56.040 Uttam Kumaran: Yeah, everything will have a timeline. It’ll kind of be determined between you and your mentor in terms of like when things are due. But again.
204 00:26:56.120 ⇒ 00:27:14.770 Uttam Kumaran: like I, it’ll be timelines that everybody can work with, because I know this stuff is new to everybody, so there’s no pressure on anything. But again. Like I want, I wanted to feel like you’re what you’re working with a real engineering team, with real timelines and accountability. So that’s that’s basically to be walking through, how we schedule work, and how we deliver things so.
205 00:27:14.770 ⇒ 00:27:15.960 Priyadharshini Aravindan: Yeah, sure.
206 00:27:15.960 ⇒ 00:27:16.460 Uttam Kumaran: Generally.
207 00:27:16.460 ⇒ 00:27:23.229 Priyadharshini Aravindan: That’s pretty much. If I get something I’ll reach out to you on slack, or I’m I’ll just reach out to you on slack.
208 00:27:23.550 ⇒ 00:27:45.240 Uttam Kumaran: Okay, okay, perfect. So today, you should be getting some more information for me on slack about data analysis about the I piece ideally, I’ll be able to give you a lot of things to just spend some time reading and learning, and then next week, when we meet on Monday. We’ll talk about the the month, long plan and what are the key action items we want to take care of, and then I’ll also introduce you to
209 00:27:45.545 ⇒ 00:27:58.480 Uttam Kumaran: your mentor like for the summer on the data analysis side on the AI side, it’ll probably be me, because I’m the one kind of working on some of these automations. But on the data analysis side, it’s a team member of ours name is Jacob. So you’ll be kind of paired with him.
210 00:27:58.630 ⇒ 00:27:59.370 Uttam Kumaran: Now.
211 00:27:59.370 ⇒ 00:28:08.029 Priyadharshini Aravindan: That’s wonderful. Before we go the nda I was about to sign the nda, and I saw the title. I’ll put the title as intern.
212 00:28:08.030 ⇒ 00:28:10.649 Uttam Kumaran: Yes, that’s perfect. Yeah.
213 00:28:10.650 ⇒ 00:28:11.799 Priyadharshini Aravindan: Okay, share, money.
214 00:28:12.020 ⇒ 00:28:31.689 Uttam Kumaran: Okay, perfect thanks so much, Priya. And thanks for taking the time again. Hopefully, we’ll have everything kind of like buttoned up for next week. And yeah, again feel free to just let me know any questions you have. I’m on slack all day, so I it’s hard, a little bit hard for me to hop on calls, but I can text and slack whenever you need, so
215 00:28:31.870 ⇒ 00:28:32.430 Uttam Kumaran: sure.
216 00:28:32.430 ⇒ 00:28:33.910 Priyadharshini Aravindan: Sure, sure.
217 00:28:33.910 ⇒ 00:28:34.530 Uttam Kumaran: Everybody.
218 00:28:34.700 ⇒ 00:28:37.100 Priyadharshini Aravindan: Thank you. Bye, bye, bye.