Meeting Title: Brainforge Recruitment Chat with Ahmed Date: 2026-03-09 Meeting participants: Ahmed Alkarboly, Kaela Gallagher
WEBVTT
1 00:01:02.510 ⇒ 00:01:04.400 Kaela Gallagher: Hey Ahmed, how’s it going?
2 00:01:05.120 ⇒ 00:01:06.030 Ahmed Alkarboly: Hey, Kayla.
3 00:01:06.430 ⇒ 00:01:08.960 Ahmed Alkarboly: I’m good, sorry. There it is.
4 00:01:09.270 ⇒ 00:01:10.739 Kaela Gallagher: There we go.
5 00:01:11.100 ⇒ 00:01:15.979 Kaela Gallagher: I’m doing well, thanks for taking some time to meet with me.
6 00:01:15.980 ⇒ 00:01:17.830 Ahmed Alkarboly: Likewise. Appreciated you reaching out.
7 00:01:18.120 ⇒ 00:01:24.659 Kaela Gallagher: Yeah, definitely. Your profile was sent over to our CEO, Utsam, and
8 00:01:24.660 ⇒ 00:01:38.629 Kaela Gallagher: just came with, like, a very, very high praise and great recommendations. So, wanted to connect and, just see if you’re on the market, and, yeah, if you’re, like, actively search… searching for anything new.
9 00:01:39.290 ⇒ 00:01:46.829 Ahmed Alkarboly: Yeah, right on. I’m not actively searching for something new, but I’m always open to opportunities, especially, like, subcontracting stuff.
10 00:01:47.320 ⇒ 00:01:52.869 Ahmed Alkarboly: Usually I would be on the market, but I’ve taken a job with the state of Virginia, and…
11 00:01:53.000 ⇒ 00:01:57.320 Ahmed Alkarboly: I feel good about it, just trying to serve the public, so that’s why I’m sticking with them through…
12 00:01:58.270 ⇒ 00:02:07.709 Ahmed Alkarboly: Through this, it’s actually a cloud transition, so, you know, we’re moving stuff from on-premises, like an old-school mainframe, 25, 30 years old.
13 00:02:07.960 ⇒ 00:02:09.879 Ahmed Alkarboly: Moving it to the cloud, so…
14 00:02:10.449 ⇒ 00:02:17.489 Ahmed Alkarboly: I’m currently not on the market in a full-time capacity, because I am committed to them to complete this transition. Like, it’s bigger than me, it’s for the
15 00:02:17.800 ⇒ 00:02:21.039 Ahmed Alkarboly: people of the state of Virginia, in a way, so,
16 00:02:21.620 ⇒ 00:02:31.880 Ahmed Alkarboly: From that sense, yeah, I’m not available full-time, but definitely, like, I have my own company, my own LLC, I do subcontracting work. I have clients based out of Austin.
17 00:02:32.350 ⇒ 00:02:34.650 Ahmed Alkarboly: Heavy equipment rental companies.
18 00:02:34.840 ⇒ 00:02:40.319 Ahmed Alkarboly: helping them do, like, modern… I don’t think that’s on my resume, actually, so you wouldn’t have,
19 00:02:40.650 ⇒ 00:02:45.110 Ahmed Alkarboly: have gotten it, a notification for it. You might see my wife running in the background, by the way.
20 00:02:45.110 ⇒ 00:02:46.690 Kaela Gallagher: No worries.
21 00:02:46.690 ⇒ 00:02:51.339 Ahmed Alkarboly: Yeah, but, like, what I helped them with… where are you based out of?
22 00:02:51.340 ⇒ 00:02:53.169 Kaela Gallagher: I’m based in LA.
23 00:02:53.560 ⇒ 00:02:54.530 Ahmed Alkarboly: Okay, nice.
24 00:02:54.530 ⇒ 00:02:54.870 Kaela Gallagher: Yeah.
25 00:02:54.870 ⇒ 00:02:57.219 Ahmed Alkarboly: Los Angeles, actually. I need to…
26 00:02:57.560 ⇒ 00:03:10.110 Ahmed Alkarboly: I have a friend that lives in a van slash apartment on Venice Beach. He, like, rented an apartment, and then bought a van, and that… now that’s his whole pers… it’s his whole personality, right? He, like, fixes bikes, fixes his van.
27 00:03:10.520 ⇒ 00:03:11.030 Kaela Gallagher: Yay!
28 00:03:11.050 ⇒ 00:03:15.119 Ahmed Alkarboly: travels, but then he has a small apartment, I think it’s called Venice Beach, somewhere.
29 00:03:15.120 ⇒ 00:03:21.420 Kaela Gallagher: Yeah, I’m, like, 10 minutes from there, so that’s definitely the vibe of Venice Beach, for sure.
30 00:03:21.420 ⇒ 00:03:25.300 Ahmed Alkarboly: Yeah, Gage… Gage is hilarious, dude, yeah.
31 00:03:25.300 ⇒ 00:03:25.690 Kaela Gallagher: Mmm.
32 00:03:25.880 ⇒ 00:03:27.760 Ahmed Alkarboly: Sorry for… I lost my train of thought.
33 00:03:28.160 ⇒ 00:03:32.300 Kaela Gallagher: Oh, you were saying that you’re doing, like, some subcontracting work right now.
34 00:03:32.900 ⇒ 00:03:40.370 Ahmed Alkarboly: Yeah, it’s not subcontracting, this would… so I am doing… I do do subcontracts, but right now, the client that I was talking about,
35 00:03:40.900 ⇒ 00:03:45.090 Ahmed Alkarboly: Basically, they own 5 heavy equipment rental
36 00:03:45.260 ⇒ 00:03:52.189 Ahmed Alkarboly: They own a company that, you know, excavators and bulldozers, whatever, and they have 5 locations across Texas.
37 00:03:52.410 ⇒ 00:04:04.540 Ahmed Alkarboly: So, I’m helping them modernize their infrastructure, and also each one of their rental systems is disaggregated, so they need a new system that, like, combines everything all together, so it’s kind of cool, because it’s like…
38 00:04:04.910 ⇒ 00:04:11.069 Ahmed Alkarboly: It’s a small company-ish, not Fortune 500. I wouldn’t say, like, mom and pops, they’re somewhere…
39 00:04:11.230 ⇒ 00:04:14.219 Ahmed Alkarboly: In the middle, where they’re starting to, like, expand.
40 00:04:14.330 ⇒ 00:04:20.169 Ahmed Alkarboly: But they… they don’t have the systems that let them do that, so it’s super cool to work with them and just, like.
41 00:04:20.740 ⇒ 00:04:30.499 Ahmed Alkarboly: From simple stuff, like, hey, we need a form that sends the data to a database, so that we can start coordinating with our salespeople and our fulfillment people.
42 00:04:30.680 ⇒ 00:04:43.100 Ahmed Alkarboly: to more complex stuff, like we built an AI agent for sales lead gen, so there’s some data sets out there that will tell you when a permit was given. This is what’s cool about Texas, there’s…
43 00:04:43.290 ⇒ 00:04:47.359 Ahmed Alkarboly: I think most cities do this now, to be honest. Most states, most governments.
44 00:04:47.580 ⇒ 00:04:50.060 Ahmed Alkarboly: But every county manages a portal.
45 00:04:50.470 ⇒ 00:04:55.190 Ahmed Alkarboly: And that portal will tell you when permits have been posted, and so we built an agent that
46 00:04:55.290 ⇒ 00:04:58.410 Ahmed Alkarboly: Scans all of the counties that they do business in.
47 00:04:59.270 ⇒ 00:05:06.920 Ahmed Alkarboly: And then, it’s kind of weird, though, because, like, the city of Austin has a great data set, the Austin Open Data Portal.
48 00:05:07.130 ⇒ 00:05:13.289 Ahmed Alkarboly: But then, you know, how do you get data from the counties outside that don’t have that? There’s ways.
49 00:05:13.500 ⇒ 00:05:22.230 Ahmed Alkarboly: And it’s Agentic. And what’s cool is, like, the decision-making on whether or not to send a salesperson to that address is Agentic as well. So…
50 00:05:22.930 ⇒ 00:05:28.309 Ahmed Alkarboly: There’s some prompt engineering going on, and then we just give it all the information for the record that we have.
51 00:05:28.700 ⇒ 00:05:32.249 Ahmed Alkarboly: And then it assigns it to a salesperson. It’s pretty cool.
52 00:05:32.830 ⇒ 00:05:33.490 Kaela Gallagher: well.
53 00:05:33.970 ⇒ 00:05:40.570 Ahmed Alkarboly: So yeah, that was not on my resume, but I felt it’s important to mention, because it’s like, that’s what I like to do. I like…
54 00:05:41.740 ⇒ 00:05:46.050 Ahmed Alkarboly: like, I like coming to people who don’t even have a dataset.
55 00:05:46.360 ⇒ 00:05:52.199 Ahmed Alkarboly: the data set, and then… and then building on top of that, I think that’s where the real change is.
56 00:05:52.460 ⇒ 00:06:02.719 Kaela Gallagher: Yeah, that’s cool. That’s… that’s kind of what we’re doing with our… our clients as well. Like, we do data and AI consulting and, have various clients across different
57 00:06:02.720 ⇒ 00:06:15.280 Kaela Gallagher: industries, and a lot of times, we’re, like, starting with the data first, and, like, cleaning that up, and making sure that makes sense before, like, adding any, you know, AI features to it and whatnot, so…
58 00:06:15.280 ⇒ 00:06:15.880 Ahmed Alkarboly: Truly.
59 00:06:16.100 ⇒ 00:06:18.230 Kaela Gallagher: Yeah, that’s kind of our role.
60 00:06:18.510 ⇒ 00:06:20.809 Ahmed Alkarboly: I think Jody… I did not mean to cut you off, I apologize.
61 00:06:20.810 ⇒ 00:06:21.429 Kaela Gallagher: No, you’re good.
62 00:06:21.430 ⇒ 00:06:22.870 Ahmed Alkarboly: There’s a little bit of a lag.
63 00:06:22.870 ⇒ 00:06:24.439 Kaela Gallagher: Yes, no worries.
64 00:06:25.540 ⇒ 00:06:32.149 Ahmed Alkarboly: But that Jody had mentioned, your CEO, sorry, I… I cannot remember the name. What’s their name?
65 00:06:32.150 ⇒ 00:06:33.170 Kaela Gallagher: Utam.
66 00:06:33.390 ⇒ 00:06:41.360 Ahmed Alkarboly: Utam, yeah, he had mentioned them, and something we were talking about when we connected was, like, just honesty, especially with AI. It’s like…
67 00:06:42.130 ⇒ 00:06:59.539 Ahmed Alkarboly: you know, the… my client that I work with in Austin, his… they make money, okay? Heavy Equipment Rental makes money. Not only do they do rentals, they… they’re a Sani, which is a Chinese brand of heavy equipment rental dealer, okay? So, like, they end up selling this equipment, and they have a good deal.
68 00:06:59.540 ⇒ 00:07:00.520 Kaela Gallagher: Oh, wow.
69 00:07:00.520 ⇒ 00:07:02.759 Ahmed Alkarboly: Good relationships, so they make a lot of money.
70 00:07:03.190 ⇒ 00:07:13.739 Ahmed Alkarboly: before me, they were trying to up their AI game. To them, like, even form validation, or, you know, we ended up… I ended up implementing,
71 00:07:13.860 ⇒ 00:07:16.829 Ahmed Alkarboly: Instead of DocuSign, it’s called Documento. It’s open.
72 00:07:16.830 ⇒ 00:07:19.549 Kaela Gallagher: Oh, we use Documentso, okay. Yeah.
73 00:07:19.760 ⇒ 00:07:30.510 Ahmed Alkarboly: So, like, stuff like that, where it was… they didn’t… they just didn’t have that. They just didn’t… so, to them, all of that was AI. And I told Jody this before I came along.
74 00:07:30.690 ⇒ 00:07:32.789 Ahmed Alkarboly: Someone to prove
75 00:07:33.270 ⇒ 00:07:44.040 Ahmed Alkarboly: that, AI sales, that, that lead generation thing, they asked for a quarter million dollar from… from… from my friends, people that are, I consider to be…
76 00:07:44.510 ⇒ 00:07:45.579 Ahmed Alkarboly: you know…
77 00:07:45.890 ⇒ 00:07:58.930 Ahmed Alkarboly: they don’t have… I mean, yes, they make money, but it’s like, to me, it was just so disingenuous and honest. I was like, dude, no. And then I took them as a client and proved and built everything out for them. My point being, with Jody, it’s like…
78 00:07:58.990 ⇒ 00:08:08.930 Ahmed Alkarboly: This kind of work requires the upteenth degree of honesty, especially when dealing with your clients, because as stewards of this technology, it’s like…
79 00:08:10.040 ⇒ 00:08:19.760 Ahmed Alkarboly: what’s Roger thinking when someone who doesn’t… they don’t know, they’ve never built an Agentic thing, but they come and they offer, you know, they say, yeah, we’re gonna build this thing for a quarter million dollars, it’s like…
80 00:08:20.580 ⇒ 00:08:26.120 Ahmed Alkarboly: That’s not honest, because it doesn’t take a quarter million dollars to build these things anymore, you know?
81 00:08:26.120 ⇒ 00:08:26.450 Kaela Gallagher: Yeah.
82 00:08:26.450 ⇒ 00:08:37.500 Ahmed Alkarboly: And I think just being good stewards of that allows other people, more and more people, to actually purchase our services, meaning our services as in, like, implement AI and do things.
83 00:08:37.820 ⇒ 00:08:41.059 Ahmed Alkarboly: And so we connected on that, honesty, and then he brought up
84 00:08:41.460 ⇒ 00:08:45.180 Ahmed Alkarboly: you guys, you know, and so that’s why… Oh, cool. Yeah.
85 00:08:45.440 ⇒ 00:08:56.389 Kaela Gallagher: Okay, that’s… that’s… wow. Well, I’m very honored to, like, have that, connection and association there. That’s awesome. I will say, like, our…
86 00:08:56.440 ⇒ 00:09:06.899 Kaela Gallagher: immediate needs right now, what we’re hiring for on the engineering side, is 3, like, full-time positions. One is an AI role, one is data, and one’s analytics.
87 00:09:07.060 ⇒ 00:09:12.009 Kaela Gallagher: And we’re looking to make those hires, like, in the next few weeks.
88 00:09:12.410 ⇒ 00:09:31.039 Kaela Gallagher: But I would love to stay in touch, like, especially if you become open to something more full-time, or if we have something, that doesn’t require 40 hours a week, I can definitely reach out, because I think, like, your skill set, and especially, like, your
89 00:09:31.170 ⇒ 00:09:36.120 Kaela Gallagher: Autonomy, is something that we would really, like, value here.
90 00:09:37.040 ⇒ 00:09:43.220 Ahmed Alkarboly: Right on, yeah, I’m open to it, and like, I’m open to taking a full-time job, it’s like, I just want to be…
91 00:09:43.960 ⇒ 00:09:49.080 Ahmed Alkarboly: super real with you, it’s like, I signed up to the state of Virginia to help them do something, which I…
92 00:09:49.080 ⇒ 00:09:49.610 Kaela Gallagher: Yeah.
93 00:09:49.610 ⇒ 00:10:02.419 Ahmed Alkarboly: Americans are owed better digital infrastructure. I believe that, and I wouldn’t stick around with the DMV unless I believe that, because it is challenging from a, I just like to get shit done perspective.
94 00:10:04.170 ⇒ 00:10:15.370 Ahmed Alkarboly: government and blah blah blah blah blah blah. So, like, from that, I just want you to know where I’m coming from. It’s not like, no, you know, I wouldn’t like to be considered, or whatever. It’s…
95 00:10:15.780 ⇒ 00:10:21.839 Ahmed Alkarboly: I took a commitment, and I take my commitment seriously. I think you guys would appreciate the same… the same treatment on.
96 00:10:21.840 ⇒ 00:10:23.210 Kaela Gallagher: 100%.
97 00:10:23.340 ⇒ 00:10:29.370 Ahmed Alkarboly: And so that’s where I’m coming from on it. It’s… so I’m not off the market, but I’m… I just want you to know where I’m at and what I’m.
98 00:10:29.370 ⇒ 00:10:30.410 Kaela Gallagher: Yeah.
99 00:10:30.670 ⇒ 00:10:36.360 Kaela Gallagher: When does that transition wrap up? Like, when are you scheduled to kind of complete that with them?
100 00:10:36.610 ⇒ 00:10:48.200 Ahmed Alkarboly: So, the transition from the mainframe to the Azure Cloud is supposed to be done in June, and then in parallel, I’m setting up… I set up all their Power BI
101 00:10:48.360 ⇒ 00:10:51.510 Ahmed Alkarboly: You know, I don’t know if you’re familiar with that, but it’s like, you know.
102 00:10:51.970 ⇒ 00:10:55.470 Ahmed Alkarboly: All the reporting to the state legislator.
103 00:10:55.570 ⇒ 00:11:01.639 Ahmed Alkarboly: goes through that Power BI infrastructure, all the public reporting goes through that infrastructure that I set up.
104 00:11:02.300 ⇒ 00:11:10.380 Ahmed Alkarboly: I don’t have an estimate for you, because I have to change everything from mainframe connections to the cloud connections, and so…
105 00:11:10.800 ⇒ 00:11:16.220 Ahmed Alkarboly: It could be that once Databricks is set up, and then they have… I templatize a couple of those
106 00:11:16.550 ⇒ 00:11:19.280 Ahmed Alkarboly: Of our 100 data sources, you know, and bring them.
107 00:11:19.280 ⇒ 00:11:19.950 Kaela Gallagher: It was interesting.
108 00:11:19.950 ⇒ 00:11:21.050 Ahmed Alkarboly: We’re onboarding them.
109 00:11:21.200 ⇒ 00:11:33.070 Ahmed Alkarboly: I might be ready to move on at that point, because at that point, I will have delivered the reporting infrastructure, the new cloud infrastructure, I will have configured the cloud to our analytics platform, Power BI,
110 00:11:33.330 ⇒ 00:11:38.010 Ahmed Alkarboly: And I will have documented all of that, so I would say probably around June.
111 00:11:38.700 ⇒ 00:11:39.040 Kaela Gallagher: Okay.
112 00:11:39.040 ⇒ 00:11:40.559 Ahmed Alkarboly: And that would be completed.
113 00:11:40.750 ⇒ 00:11:48.500 Ahmed Alkarboly: Okay. And when I would… I would start considering, sort of, moving on. And transparently, you know, like, the insurance and, like.
114 00:11:49.370 ⇒ 00:11:51.630 Ahmed Alkarboly: We’re go… we’re,
115 00:11:52.240 ⇒ 00:12:01.930 Ahmed Alkarboly: the insurance is nice, so I don’t, like, I don’t want to have to worry about, like, moving things over and finding new doctors and all that jazz, you know, so that’s another factor for… for us, me and my wife.
116 00:12:02.260 ⇒ 00:12:08.479 Kaela Gallagher: Yeah, okay, that makes sense. Yeah, I think that Power BI experience is relevant to us as well. We…
117 00:12:08.480 ⇒ 00:12:13.370 Ahmed Alkarboly: Oh, I am… I’m crazy with Power BI, by the way. Like, I don’t think…
118 00:12:13.900 ⇒ 00:12:20.880 Ahmed Alkarboly: I’m crazy with Power BI. You know, from an administrative, like, getting… building all the data flows and also building…
119 00:12:21.600 ⇒ 00:12:27.670 Ahmed Alkarboly: Like, the actual reports, that’s what I started my career, and then I worked my way backwards to be a data engineer.
120 00:12:27.670 ⇒ 00:12:34.130 Kaela Gallagher: Oh, amazing. Okay. Have you heard of a platform called Omni? It’s like a competitor to Power BI?
121 00:12:34.260 ⇒ 00:12:35.870 Ahmed Alkarboly: Omni, no.
122 00:12:35.870 ⇒ 00:12:55.330 Kaela Gallagher: Okay, so that’s what we’re using with a lot of our clients. So, very similar. I think we’ve done Power BI for a couple clients as well, but, Omni’s kind of our bread and butter, so I think your Power BI experience would be relevant to that. But, what do you say, like, how about we reconnect in June?
123 00:12:55.330 ⇒ 00:13:00.319 Kaela Gallagher: As you’re closer to kind of keeping an eye out for something new, and…
124 00:13:00.320 ⇒ 00:13:09.290 Kaela Gallagher: I… I mean, we’re very quickly expanding, we’re always, like, signing new clients, so I could definitely see us having some… some hiring needs then.
125 00:13:09.900 ⇒ 00:13:20.650 Ahmed Alkarboly: Definitely, and, like, even before that, feel free to reach out to me. To be transparent, if the offer is right, it’s like… I’ve been documenting as I go, so…
126 00:13:20.870 ⇒ 00:13:25.399 Ahmed Alkarboly: I can move on, but if the offer’s right, you know? And,
127 00:13:26.570 ⇒ 00:13:29.670 Ahmed Alkarboly: If there’s a need for me, and…
128 00:13:30.650 ⇒ 00:13:41.639 Ahmed Alkarboly: you can pitch it to me. I don’t know, I don’t want… you’re the recruiter, you know? It’s like, I don’t feel like I’m in a place to say, pitch it to me, but, like, I do want to move to AI. I do not want to work in .gov’s
129 00:13:42.210 ⇒ 00:13:45.239 Ahmed Alkarboly: After this job, it’s just not for me, it’s too slow.
130 00:13:45.480 ⇒ 00:13:46.630 Kaela Gallagher: Okay.
131 00:13:46.630 ⇒ 00:13:57.580 Ahmed Alkarboly: And so, like, I don’t want to be passed by because you think that I’m not, you know, I’m not ready. I think I’m just trying to let you know where I’m at, you know, and just trying to be super, super real with you, you know? That’s it.
132 00:13:57.580 ⇒ 00:14:07.020 Kaela Gallagher: Yeah, okay. Between, like, a data engineer role, analytics, or AI, like, what one do you think aligns most with your skill set?
133 00:14:07.200 ⇒ 00:14:12.879 Ahmed Alkarboly: Not analytic… I mean, I could do analytics and I’d crush it, right? But, like, it’s not fun for me anymore.
134 00:14:12.880 ⇒ 00:14:13.540 Kaela Gallagher: ma’am.
135 00:14:13.720 ⇒ 00:14:27.009 Ahmed Alkarboly: I prefer more infrastructural roles, so the data or AI would work. However, with AI, I feel like I get pigeonholed. When you say data, I’m assuming I’m building pipelines, maintaining databases, ingesting…
136 00:14:27.250 ⇒ 00:14:45.380 Ahmed Alkarboly: And then I could do some machine learning, or I could do some agentic projects, but if I… if I’m just AI, then I think there’s an expectation that I can’t write Python, or do Databricks, or, like, move data from point A to point B, which is what I’m really good at. But, like, data analytics?
137 00:14:46.000 ⇒ 00:15:02.979 Ahmed Alkarboly: out of the park, like Babe Ruth out of the park. AI, machine learning type stuff, with my data engineering background, I can… I actually have two patents for machine learning from Dish. I don’t know if that’s on my resume, but you can look up my name on Google Patents, and you’ll see five pop up.
138 00:15:03.800 ⇒ 00:15:04.510 Kaela Gallagher: Wow.
139 00:15:05.130 ⇒ 00:15:07.960 Ahmed Alkarboly: Yeah, so I’m definitely that guy, you know, and
140 00:15:08.490 ⇒ 00:15:13.120 Ahmed Alkarboly: I’m learning how to be less, to just sell myself more.
141 00:15:14.730 ⇒ 00:15:22.129 Ahmed Alkarboly: Long story short, to be long-winded, data, leaning towards AI, but I think if I were to tell you AI, that’d pigeonhole me, but I can.
142 00:15:22.130 ⇒ 00:15:22.620 Kaela Gallagher: Okay.
143 00:15:22.620 ⇒ 00:15:23.860 Ahmed Alkarboly: And actually do all three.
144 00:15:24.350 ⇒ 00:15:35.550 Kaela Gallagher: Yeah, yeah, there’s definitely, like, some overlap between, you know, those… those rules for us. I think data oftentimes is maybe, like, more initial stages with our clients, like, actually
145 00:15:35.550 ⇒ 00:15:45.479 Kaela Gallagher: cleaning that up and getting it ready, and then our AI team can kind of come in and build on it. Our AI team also, like, works on our internal platform, too.
146 00:15:45.480 ⇒ 00:15:49.760 Kaela Gallagher: And helping us as a company. So, that’s kind of where those, those rules sit.
147 00:15:49.760 ⇒ 00:15:51.220 Ahmed Alkarboly: It’s the internal platform.
148 00:15:52.990 ⇒ 00:16:10.510 Kaela Gallagher: Okay, I’m not super technical, so forgive me for this explanation, but we have, like, an internal repository that’s, like, the brain of our company. Every call that we have like this, all of our interactions with clients, like, it’s all kind of stored and accessible.
149 00:16:10.510 ⇒ 00:16:24.470 Kaela Gallagher: what I can use it for, like, on the recruiting side is, you know, maybe before I meet with somebody in the company, I can ask it to tell me about that person and what they’ve been working on lately. It also, like.
150 00:16:24.570 ⇒ 00:16:34.679 Kaela Gallagher: stores all of our meetings and gives them ratings on the quality of them, and yeah, just a super, like, useful brain for the company.
151 00:16:34.950 ⇒ 00:16:38.349 Ahmed Alkarboly: I get it’s, like, something that Vector puts all…
152 00:16:38.750 ⇒ 00:16:49.460 Ahmed Alkarboly: meeting notes, and client meetings, or info about them, or whatever, into, like, a vector database, and use an LLM to search, so it could be about people, or companies, or processes, or whatever.
153 00:16:49.460 ⇒ 00:17:04.759 Kaela Gallagher: And then our strategy team is even able to, like, update tickets from it, and, you know, assign tickets from meetings, and it can kind of do a lot of the work PMs used to do, so, kind of cool, I’m sure our engineers would give you, like, a different
154 00:17:05.170 ⇒ 00:17:12.989 Kaela Gallagher: take on that platform, but from a more technical side, but that’s what I can give you for now. But yeah.
155 00:17:12.990 ⇒ 00:17:13.969 Ahmed Alkarboly: No, it makes sense.
156 00:17:14.160 ⇒ 00:17:27.380 Kaela Gallagher: I guess, like, I would be happy to move you forward to speak with the team, but I will say, like, we are looking to extend offers in the next few weeks, and ideally have people start sooner than June.
157 00:17:27.730 ⇒ 00:17:28.099 Ahmed Alkarboly: Yeah.
158 00:17:28.109 ⇒ 00:17:35.049 Kaela Gallagher: The… the… I know you mentioned, like, the offer would need to be right. What’s the kind of range you’re looking in?
159 00:17:35.540 ⇒ 00:17:48.740 Ahmed Alkarboly: I mean, compensation… compensation is not what I was talking about, like, compensation is, like, what you pay your other data engineers, and we can have that conversation, I just… I don’t want to have it today, if that’s okay? Yeah, that’s fine. But what I… what I’m…
160 00:17:48.940 ⇒ 00:17:53.929 Ahmed Alkarboly: What I’m trying to make clear is, like, I can’t just leave the state of Virginia hanging, you know what I mean? Like…
161 00:17:54.450 ⇒ 00:18:05.880 Ahmed Alkarboly: I am their Power BI guy, I am the person that’s building the data warehouse, and so you could… we could move through the process, I just need time to transition out, you know, so I can’t, like…
162 00:18:06.060 ⇒ 00:18:13.780 Ahmed Alkarboly: I can’t just let them… the same way that you guys would expect me to not just leave y’all hanging, I owe it to them. I especially owe it to, like, the public, you know?
163 00:18:13.780 ⇒ 00:18:14.140 Kaela Gallagher: Yeah.
164 00:18:14.140 ⇒ 00:18:15.410 Ahmed Alkarboly: Bob in particular.
165 00:18:15.600 ⇒ 00:18:16.490 Kaela Gallagher: Okay.
166 00:18:17.490 ⇒ 00:18:26.119 Ahmed Alkarboly: that’s… there’s a transition time that I need so that everything’s documented, like, I can’t just quit in two weeks, you know? And I can, for the record.
167 00:18:26.240 ⇒ 00:18:30.399 Ahmed Alkarboly: do both at the same time for a period, as I’m transitioning out.
168 00:18:30.820 ⇒ 00:18:31.220 Kaela Gallagher: Yeah.
169 00:18:31.220 ⇒ 00:18:32.729 Ahmed Alkarboly: Probably what would need to happen.
170 00:18:32.970 ⇒ 00:18:37.900 Kaela Gallagher: Okay. I will say, like, a lot of times we have…
171 00:18:37.900 ⇒ 00:18:54.919 Kaela Gallagher: like, trial periods before bringing people on full-time anyway, so maybe a 2- or 3-week trial period, part-time, and then you can really figure out if, like, we’re right for you, and vice versa. And so that could be an option that we explore, too, just so you feel really
172 00:18:55.020 ⇒ 00:19:00.199 Kaela Gallagher: confident before coming to Brainforge full-time, and then you have a little bit of a transition, too.
173 00:19:00.610 ⇒ 00:19:04.320 Ahmed Alkarboly: Okay, yeah, that definitely would make me feel more comfortable.
174 00:19:04.320 ⇒ 00:19:04.990 Kaela Gallagher: Yeah.
175 00:19:05.690 ⇒ 00:19:06.880 Kaela Gallagher: Okay.
176 00:19:06.880 ⇒ 00:19:12.359 Ahmed Alkarboly: I’m happy… I’m happy to move on, I just don’t want to waste your time, or your team’s time especially, you know, like, I…
177 00:19:14.180 ⇒ 00:19:19.409 Ahmed Alkarboly: I would be happy to move on. You know where I’m at, I think I’ve been super clear about it. I don’t need to say anything.
178 00:19:19.410 ⇒ 00:19:19.910 Kaela Gallagher: Yeah.
179 00:19:19.910 ⇒ 00:19:20.719 Ahmed Alkarboly: I don’t you know.
180 00:19:20.900 ⇒ 00:19:28.170 Kaela Gallagher: Yeah, okay, cool. Yeah, I can definitely have you, like, chat with our data team.
181 00:19:28.170 ⇒ 00:19:47.659 Kaela Gallagher: The way we structure our interview processes is we have, like, a first round that’s just kind of like a cultural fit, second round is a little bit more technical, and then third round, we do, like, a challenge. So we’ll give you, kind of something that you might see with one of our clients, and then have you come to the final with, you know, presenting your solution.
182 00:19:48.650 ⇒ 00:19:54.489 Kaela Gallagher: So that’s kind of how it’s structured, and yeah, I can move you on to speak with our data team.
183 00:19:55.090 ⇒ 00:19:57.519 Ahmed Alkarboly: If you think it’s a good idea, I’d be happy to do that.
184 00:19:58.200 ⇒ 00:19:59.660 Ahmed Alkarboly: appropriate, I’d be happy to do that.
185 00:19:59.950 ⇒ 00:20:05.240 Kaela Gallagher: Okay, cool. Sounds like a plan. Awesome. Thanks so much for your time today.
186 00:20:05.600 ⇒ 00:20:07.620 Ahmed Alkarboly: Likewise, Kayla, it was a pleasure speaking to you.
187 00:20:07.620 ⇒ 00:20:11.009 Kaela Gallagher: You too. Talk to you later. Alright, bye.