Meeting Title: Brainforge Interview w- Sam Date: 2026-04-30 Meeting participants: Ahmed, Samuel Roberts
WEBVTT
1 00:01:47.700 ⇒ 00:01:49.070 Samuel Roberts: How are you?
2 00:01:51.300 ⇒ 00:01:52.030 Ahmed: Hello?
3 00:01:52.220 ⇒ 00:01:54.589 Ahmed: Can you hear me? Yeah, yeah.
4 00:01:54.770 ⇒ 00:02:02.709 Samuel Roberts: Perfect. As well, yeah, perfect. One second, let me just, camera on here… Very good.
5 00:02:03.290 ⇒ 00:02:04.440 Ahmed: Hello! Hi.
6 00:02:04.440 ⇒ 00:02:06.410 Samuel Roberts: Nice to meet you, yes. How are you?
7 00:02:06.410 ⇒ 00:02:08.600 Ahmed: I’m good, how are you?
8 00:02:08.960 ⇒ 00:02:11.789 Samuel Roberts: Good, good. Thanks for taking the time today.
9 00:02:12.550 ⇒ 00:02:13.920 Ahmed: Thank you.
10 00:02:15.110 ⇒ 00:02:20.999 Samuel Roberts: Alright, so, the way this works, I’ll introduce myself, I’ll ask you to do a brief intro as well,
11 00:02:21.080 ⇒ 00:02:29.839 Samuel Roberts: I got a few questions, I want to leave some time to make sure I can answer any of your questions, so I’ll try to get about halfway, and then switch over to make sure there’s time.
12 00:02:29.900 ⇒ 00:02:44.089 Samuel Roberts: And then, yeah, we’ll just kind of chat and see how it goes from there, so. Brief intro. Yeah, so my name is Sam Roberts. I’m the AI tech lead here at Brainforge. I’ve been here since July,
13 00:02:44.460 ⇒ 00:02:51.810 Samuel Roberts: So my background is a lot in startups and web dev sort of stuff, and obviously a lot of AI in the past several years.
14 00:02:52.920 ⇒ 00:02:58.259 Samuel Roberts: Yeah, so that’s sort of my… who I am. I’d love if you can give me a quick elevator pitch of yourself as well.
15 00:02:58.840 ⇒ 00:03:03.419 Ahmed: Sure, sure, sure. So, basically, I’m from Pakistan.
16 00:03:03.520 ⇒ 00:03:06.620 Ahmed: I do my bachelor’s in materials engineering.
17 00:03:07.020 ⇒ 00:03:19.709 Ahmed: Yeah. So, after that, I went for a bureaucratic examination that happens in Pakistan. It’s, like, a really tough examination with, like, a 3% pass rate.
18 00:03:19.840 ⇒ 00:03:31.630 Ahmed: I did it because my father wanted to, wanted me to do it. I did it, but I didn’t get the growth I wanted, so I didn’t pursue it any further. Then I went for Masters in Debt Analytics.
19 00:03:32.480 ⇒ 00:03:43.540 Ahmed: And for, like, a year and a half, I’ve also been doing freelance work in the AI automation arena, and I’ve just completed my master in, like, last December.
20 00:03:43.870 ⇒ 00:03:49.770 Ahmed: And yeah, since then, I’ve just been working and learning more about AI. Yeah, that’s pretty much it.
21 00:03:49.770 ⇒ 00:03:50.520 Samuel Roberts: Excellent.
22 00:03:50.940 ⇒ 00:03:59.179 Samuel Roberts: Cool, cool. Alright, yeah, so let’s just jump right in then. Can you talk about a, like, an LLM-based feature that you shipped to production, and the problem that it solved?
23 00:04:00.110 ⇒ 00:04:02.070 Ahmed: Sure,
24 00:04:02.070 ⇒ 00:04:20.959 Ahmed: like, I will, like, go with the most recent one, which was, like, I also talked about it in the video I submitted. It’s a multi-tenant system for, like, an education provider in UK, but basically the problem they were facing is, like, the data they had were stored in, like, different places.
25 00:04:21.089 ⇒ 00:04:38.009 Ahmed: Like, some of it with… was the instructors and CSV files, some was with their LMS, so… and the data, like, it was just, like, plain data. They were not, like, doing anything with it, and there were, like, there were no, like, thresholds and, like, combinations of factors.
26 00:04:38.060 ⇒ 00:04:53.040 Ahmed: So, what I just did was, like, I built them a dashboard using Lovable. I used Superbase as the database, and I used, like, AnyTent for, like, if they wanted to, like, update the database with, like, CSV ingestion.
27 00:04:53.040 ⇒ 00:05:02.759 Ahmed: And all of that. And then, also, I added an AI GPT layer on top of that, like, if the person using it wants to get specific insights.
28 00:05:02.880 ⇒ 00:05:17.559 Ahmed: Like, about, like, certain students, like, what are… who are not performing well, what are the… what kind of… could be the reasons, or how could you improve those things? So, that was something I incorporated in there, and one of the
29 00:05:17.560 ⇒ 00:05:23.639 Ahmed: things I would say, was, like, a bit of… when I put it into, like, I won’t say…
30 00:05:23.640 ⇒ 00:05:41.420 Ahmed: in production, I was, like, I was… had decided to put it in production, but, like, I was just, like, doing final tests, because I’m, like, I do a lot of manual testing, which I… which I shouldn’t, I should automate it, but, yeah, what I saw was, like, the LM was, like, hallucinating.
31 00:05:41.690 ⇒ 00:05:57.289 Ahmed: The data, yeah, like, the answers was giving me, they were not factual, like, so, and I… so, like, the way I fixed it was, like, you know, putting it more constrained in the system prompt, and, like, just making sure that it doesn’t have the liberty.
32 00:05:57.420 ⇒ 00:06:06.859 Ahmed: to, like, make stuff up, because, like, LLM makes stuff up pretty confidently. So that was something, you know, I fixed, and I did it, yeah.
33 00:06:07.310 ⇒ 00:06:08.170 Ahmed: That was great.
34 00:06:08.170 ⇒ 00:06:09.110 Samuel Roberts: Thank you, yeah.
35 00:06:09.530 ⇒ 00:06:25.009 Samuel Roberts: Cool, cool. Alright, let’s, let’s talk a little bit about, non-technical stakeholders. So, there’s a lot of information out there about AI and LLMs, a lot in the news, so a lot of people hear stuff, but might not really understand the limitations, like the hallucinations and things.
36 00:06:25.010 ⇒ 00:06:25.449 Ahmed: Yeah, yeah, yeah.
37 00:06:25.450 ⇒ 00:06:30.000 Samuel Roberts: How do you go about explaining some of those limitations to non-technical stakeholders?
38 00:06:30.670 ⇒ 00:06:47.980 Ahmed: Sure, like, first, like, when I’m talking to them, first thing first is, like, bringing them back to the ground. Like, most people think that LN are like some kind of magic moment, like, wave it, and all of your problems are going to get solved. It doesn’t work like that, and, like, most of time.
39 00:06:48.080 ⇒ 00:07:05.610 Ahmed: they agree on one thing, but, you know, down the line, they just want to add more features, and, like, then there’s a scope creep. And I just have to, like, you know, like, from the get-go, we really have to, like, understand their problem, and, like, ground their expectations in what can we actually deliver.
40 00:07:05.900 ⇒ 00:07:22.599 Ahmed: And then, you know, get it on into a scope document, so, like, that could be treated as a, like, source of truth, where which we can go back to and, like, follow. That is something, you know, I try to do, and explaining them, I try to not go, like, very technical, because, like, most…
41 00:07:22.620 ⇒ 00:07:38.979 Ahmed: of people, like, they don’t really, like, they do think they want to understand it, but, like, if you go really technical about it, they lose interest, so I like to, like, you know, put it into business words in terms of ROI, what they can get out of that system.
42 00:07:39.060 ⇒ 00:07:49.199 Ahmed: how much, you know, what that system is worth, how much, you know, time they’re losing right now, how much time they can save, you know, all of those things, that’s what I try to do.
43 00:07:49.550 ⇒ 00:07:50.830 Ahmed: You know, non-tech people.
44 00:07:52.500 ⇒ 00:08:01.529 Samuel Roberts: Great, great. Is there a time, that you can think of where someone misunderstood a feature or something, and you had to either
45 00:08:01.720 ⇒ 00:08:05.789 Samuel Roberts: Get them to understand, or change something, however that might have gone.
46 00:08:07.270 ⇒ 00:08:21.579 Ahmed: I don’t… I won’t say that I don’t recall any such thing, but I would kind of recall, like, this thing that, like, people don’t, like, understand. People think that when you’re, like, automating, especially, for example, if I’m making a content pipeline.
47 00:08:22.620 ⇒ 00:08:39.719 Ahmed: they think that’s some off-the-shelf product. Like, what they don’t understand, like, there’s so many things and services that go on at the back end, and which add up to the costing, and, like, most people don’t understand that, you know, that aspect of automation.
48 00:08:39.900 ⇒ 00:08:41.650 Ahmed: I would say.
49 00:08:41.650 ⇒ 00:08:42.299 Samuel Roberts: Great.
50 00:08:42.840 ⇒ 00:08:58.449 Samuel Roberts: Very, great. Let’s talk about… okay, so we talked a… I asked a little bit about the industry changing and things moving quickly. Have there been any trends that you were initially excited about, but decided not to adopt for some reason? So, you know, there’s a lot of…
51 00:08:58.450 ⇒ 00:09:05.809 Samuel Roberts: hype for different things, but I’m curious if there’s any one thing that you can think of that seemed really good, but then you tried it and didn’t, you know.
52 00:09:05.850 ⇒ 00:09:07.040 Samuel Roberts: Want to adopt it?
53 00:09:07.690 ⇒ 00:09:14.249 Ahmed: I wouldn’t say… because, like, if I’m pumped about something, I’m most definitely am going to try it.
54 00:09:14.250 ⇒ 00:09:14.810 Samuel Roberts: Sure, sure.
55 00:09:14.810 ⇒ 00:09:20.889 Ahmed: I think that there was, like, really a lot of hype around. It was, like, that open claw.
56 00:09:21.680 ⇒ 00:09:23.040 Samuel Roberts: Oh, yeah, okay, sure, sure.
57 00:09:23.040 ⇒ 00:09:28.510 Ahmed: everyone was talking about it, like, open Reddit, YouTube, like, everyone was talking about it.
58 00:09:29.110 ⇒ 00:09:34.110 Ahmed: Like, somewhere, like,
59 00:09:34.270 ⇒ 00:09:53.809 Ahmed: the way people were describing it, that, like, you have to really isolate it, and use it in a certain way, and there was, like, those were security reasons were some of the things that, like, I decided, like, no, I shouldn’t, like, use it right now, maybe, like, down the line, when it’s, like, a bit more explored by other people. But yeah, that was something I, you know.
60 00:09:53.940 ⇒ 00:09:55.719 Ahmed: Didn’t try that time.
61 00:09:55.720 ⇒ 00:10:04.850 Samuel Roberts: Yeah, yeah, I had a similar experience with it, where there was so much hype, I was like, I have to do this, so I put a little virtual machine on my server and gave it just access to that, and…
62 00:10:04.980 ⇒ 00:10:12.809 Samuel Roberts: It didn’t really do much, because I didn’t really give it much access, but at least, yeah. Great, great. So, on that same…
63 00:10:13.160 ⇒ 00:10:25.440 Samuel Roberts: Thought, then. How do you go about deciding when a new model, or a new framework, or some tool is a production-ready tool that you feel like you could use for a project?
64 00:10:26.250 ⇒ 00:10:45.190 Ahmed: Yeah, like, I do not go a lot on hype, right? Because the thing is, nowadays, people are using these kinds of tools to, like, create hype and get likes in, and get, you know, trending on LinkedIn, and… but, like, I don’t go over the hype.
65 00:10:45.190 ⇒ 00:10:53.399 Ahmed: I do research the tool, I take my time on it, like, if there’s a tool that came out, like, yesterday, I won’t start, like, using it in production.
66 00:10:53.400 ⇒ 00:11:04.309 Ahmed: I’ll, like, take some time, I’ll do some of my research, I’ll use it, see what the features are, like, you know, make some… some, like, stuff for, like, just for myself.
67 00:11:04.310 ⇒ 00:11:15.149 Ahmed: a use case where, you know, I use it, and I test it over the time, and then maybe down the line I use it, but, like, I don’t, like, go with the hype and start using it. Everything is up.
68 00:11:17.160 ⇒ 00:11:24.909 Samuel Roberts: Great, great. Okay, let’s do a fun one here. If you had 6 months with no obligations.
69 00:11:25.120 ⇒ 00:11:27.059 Samuel Roberts: What do you think you would work on?
70 00:11:28.230 ⇒ 00:11:30.970 Ahmed: lag in Brainforge? Or, like…
71 00:11:31.350 ⇒ 00:11:44.069 Samuel Roberts: I mean, just in… just in, like, what interests you that, you know, you don’t have the time, maybe now, or, you know, you’re busy with other things, but, like, what’s… if you just had 6 months where you didn’t have to worry about anything, what would you do?
72 00:11:45.990 ⇒ 00:11:53.080 Ahmed: Like, if I had 6 months, and especially, like, if I’m not involved in any project.
73 00:11:53.120 ⇒ 00:12:06.529 Ahmed: what I would do is, like, I’m a bit of a geek, I really do follow these things, like, all of these new tools coming up, like, I would really like to try all of them, like, even, like, open claw, like, I would like to, you know, get some time, and…
74 00:12:06.570 ⇒ 00:12:16.029 Ahmed: Really use it and see, like, what really works, because, like, there is a lot of potential there, but, like, so much is coming out, like, every day there’s a tool coming out.
75 00:12:16.030 ⇒ 00:12:28.300 Ahmed: Man, that’s creating, you know, almost, like, it overwhelms me sometimes, because, like, I open my LinkedIn, and there’s, like, 100 posts about Claude. Use this Claude, use these features about the cloud.
76 00:12:28.390 ⇒ 00:12:37.760 Ahmed: So, like, you know, if I have time and no obligations, I would just, like, explore and different… use different tools, and use different combinations, and see what works.
77 00:12:38.700 ⇒ 00:12:46.030 Samuel Roberts: Great, great. What’s something that you stuck with outside of work over multiple years?
78 00:12:47.650 ⇒ 00:12:50.469 Ahmed: Can you be a little elaborate a bit?
79 00:12:50.470 ⇒ 00:13:03.389 Samuel Roberts: Yeah, sure, sure, you’re right. I mean, just something that you’ve been, like, committed to that’s, you know, not work-related necessarily, but, I mean, I guess we kind of already… you’ve already talked about school and master’s, so that might be it, but I’m just curious, are there other things that you’ve…
80 00:13:03.690 ⇒ 00:13:04.220 Ahmed: Yeah.
81 00:13:04.220 ⇒ 00:13:08.229 Samuel Roberts: doing for years that, is something you’ve stuck with?
82 00:13:08.230 ⇒ 00:13:24.099 Ahmed: Yeah, like, I talked about, like, the civil service exam that I gave up, you know, appeared in after bachelor’s. So, in that examination, there was a subject, International Relations, and when I studied it, I really developed an interest in it, and that’s something
83 00:13:24.170 ⇒ 00:13:36.279 Ahmed: I, like, even if the video I submitted, if you look at the tab, there was one tab of Trump’s video, so I can really follow internationalization what’s going on in there, and I find it really interesting.
84 00:13:37.060 ⇒ 00:13:37.990 Samuel Roberts: Great, great.
85 00:13:38.430 ⇒ 00:13:54.969 Samuel Roberts: Okay, so we’re… we’re getting close to half, so this is where I like to switch over and make sure that there’s time for your questions, because I don’t like to get to the end and not have enough time, so… what questions do you have for me about the role, about Brainforge, about AI, anything that we can just sort of…
86 00:13:55.250 ⇒ 00:13:55.770 Samuel Roberts: Dig in.
87 00:13:55.770 ⇒ 00:14:02.509 Ahmed: Alright, so let me pose that question to you, like, if I am to, like, get selected in Brain Forge.
88 00:14:02.610 ⇒ 00:14:08.839 Ahmed: like, 6 months in, where do you, like, see me? What kind of work I will be, like, working on, projects?
89 00:14:08.840 ⇒ 00:14:09.750 Samuel Roberts: Yeah.
90 00:14:09.880 ⇒ 00:14:13.929 Samuel Roberts: So, okay, a little… I don’t know how much you’ve seen the website or the history.
91 00:14:13.930 ⇒ 00:14:17.839 Ahmed: Like, I’ve seen the site, I’ve seen you on LinkedIn, I’ve stopped.
92 00:14:17.840 ⇒ 00:14:18.190 Samuel Roberts: Okay.
93 00:14:18.530 ⇒ 00:14:19.660 Ahmed: Oh, good, good!
94 00:14:19.660 ⇒ 00:14:20.340 Samuel Roberts: Good, yeah, yeah.
95 00:14:20.830 ⇒ 00:14:38.070 Samuel Roberts: So, yeah, so Brainforge, you know, started as, like, a data consultancy, and it’s kind of branched more into AI as we’ve been using tools internally, and then trying to help clients with that, whether it’s data or not, you know, kind of different AI services. And so, what I…
96 00:14:38.090 ⇒ 00:14:43.080 Samuel Roberts: like to say is that we’re, you know, we’re kind of… focused on…
97 00:14:43.320 ⇒ 00:14:56.209 Samuel Roberts: we have a lot of clients that are data clients, and they then kind of sometimes need AI services. So sometimes a client will kind of spin out from that and become more of an AI client as well. We’re working on a project right now that’s kind of doing that.
98 00:14:56.280 ⇒ 00:15:12.950 Samuel Roberts: Sometimes clients come and they just want, you know, a simple automation. You know, maybe they’ve been using Claude to help them draft things, but they’re copying and pasting constantly, and, you know, they have saved prompts, and then they, you know, iterate on those, and so we’ve built some automations for that.
99 00:15:12.950 ⇒ 00:15:21.260 Samuel Roberts: You know, we kind of cover a lot of different things, and it’s one of the things we’re looking to try to understand, like, what is our, you know, ideal customer profile for…
100 00:15:21.260 ⇒ 00:15:34.359 Samuel Roberts: for AI, and what services we provide, and so, I think data is a little more mature in terms of Brainforge’s history, and AI is a little newer, and we’re still kind of nailing that, but we’ve… we’ve done a lot of, you know.
101 00:15:34.800 ⇒ 00:15:47.890 Samuel Roberts: chat GPT-style chat apps over someone’s data, over some MCP servers, a little more integrated into their, their sources. We’ve done some… one project that we have is a,
102 00:15:49.080 ⇒ 00:16:07.610 Samuel Roberts: a chatbot, but it’s for customer service representatives to use when on the phone with customers. So it’s not the customers using it, but it’s how the CSRs are able to look up tons of data, figure out who the right person to assign to something is, and all that sort of stuff that before was just scattered across Google Docs.
103 00:16:08.130 ⇒ 00:16:23.369 Samuel Roberts: And so, like, it’s kind of hard to predict exactly what projects will be, as, you know, clients come and go, and new projects arise, and things pivot and shift, but I think from a, you know, from an AI perspective, what I really liked about Brainforge is that we’re
104 00:16:23.370 ⇒ 00:16:36.670 Samuel Roberts: We’re also doing things internally, so there may be some things that you would get to play with that are very cutting edge, and like, we’re trying it out and seeing if it’s any good, and then there’s other tools that we’ve kind of settled on that are good for production and good for,
105 00:16:36.810 ⇒ 00:16:43.880 Samuel Roberts: you know, getting out in customers’ hands. And so, when it comes down to it, there’s… that’s gonna change in the next 6 months, so it’s kind of hard to say.
106 00:16:43.880 ⇒ 00:16:44.490 Ahmed: You’re like, oh, you’ll.
107 00:16:44.490 ⇒ 00:16:45.540 Samuel Roberts: doing this exactly.
108 00:16:45.540 ⇒ 00:16:46.230 Ahmed: Yeah, yeah.
109 00:16:46.230 ⇒ 00:16:54.779 Samuel Roberts: I, you know, we have a, you know, me and a few other engineers that kind of bounce around different clients, and, like, we have our kind of contacts from certain ones, so we might
110 00:16:54.780 ⇒ 00:17:17.879 Samuel Roberts: stay in a few clients here or there, but in the next 6 months, we’re gonna be getting a lot more projects coming through, and so there may be some context switching, you know, different days working on different things for, you know, one day it might be a pipeline for, like I said, that CSR chatbot. Another one might be a more simple automation that is, you know, looking at all these meetings and helping figure out what themes are happening in the company.
111 00:17:17.970 ⇒ 00:17:25.720 Samuel Roberts: So it’s very, product-y in that sense, which is interesting, and it’s diversified a lot, too.
112 00:17:25.720 ⇒ 00:17:33.529 Ahmed: Like, Brainforge is pretty much like me, who’s just done Masters in data analytics, and, like, is going into AI transformation.
113 00:17:33.600 ⇒ 00:17:35.400 Samuel Roberts: That’s kind of how it’s been, yeah, and so…
114 00:17:35.400 ⇒ 00:17:35.760 Ahmed: Yeah.
115 00:17:35.760 ⇒ 00:17:54.440 Samuel Roberts: you know, it’s nice because we get to work with the data folks, and like, sometimes if we need, you know, a pipeline set up to ingest the data for a Rag pipeline or something, you know, we have expertise in that, and we’re starting to develop more, you know, we’ve done a few times where we’ve deployed things to Google now, so we’re getting better at, you know, using GCP versus using AWS, and so we’re starting.
116 00:17:54.440 ⇒ 00:17:55.120 Ahmed: Huh.
117 00:17:55.120 ⇒ 00:18:07.370 Samuel Roberts: solidify a lot that way, but we’re still pretty broad when it comes to things we’re willing to try, AI-wise. And things are changing, so, you know, who knows where… where the world will be? The other side of it is we’re very big on,
118 00:18:07.630 ⇒ 00:18:13.490 Samuel Roberts: using AI tooling for ourselves. So, like I said, we build tools internally, we’re also,
119 00:18:13.750 ⇒ 00:18:27.189 Samuel Roberts: we got the whole company using Cursor for a while, and now we’ve shifted a little bit more towards open code, we’re trying out new tools so that, you know, even the non-technical people at Brainforge are still using AI to help them, you know, draft
120 00:18:28.190 ⇒ 00:18:42.639 Samuel Roberts: you know, SOWs or PRDs and other things that, like, will be going in front of the clients, and so, you know, there’s different things to help the company overall move faster, so there’s a bunch of different things we do.
121 00:18:43.250 ⇒ 00:18:56.550 Ahmed: Yeah, I really like that about, like, any startup, like, that you get to work on so many different things. Like, it really, like, I think, develops your skills much faster, in comparison if you’re, like, working with,
122 00:18:56.770 ⇒ 00:19:00.030 Ahmed: You know, developed company, or, like, established company.
123 00:19:00.220 ⇒ 00:19:04.510 Ahmed: So, that’s really cool. And another question that I had was…
124 00:19:04.820 ⇒ 00:19:19.789 Ahmed: Yeah, in the email that I got, it told me that there were going to, like, 3 rounds of… like, 2 rounds for an interview, like, after this interview. So, like, what can I expect, like, if… if I am to, like, you know, move forward.
125 00:19:19.790 ⇒ 00:19:21.800 Samuel Roberts: Yeah, totally, totally.
126 00:19:21.800 ⇒ 00:19:22.170 Ahmed: I’d expect.
127 00:19:22.170 ⇒ 00:19:27.129 Samuel Roberts: Good question, good question. This is one thing I definitely always cover by the end, so you’re good.
128 00:19:27.130 ⇒ 00:19:43.579 Samuel Roberts: So you did the loom, and I saw that, and that kind of got screened, and, you know, you were past that gate to me, and then assuming that you pass this gate, I’ll take this all back to the team, and we’ll meet about it, and then there would be a second round with another engineer.
129 00:19:43.710 ⇒ 00:19:48.920 Samuel Roberts: That one’s a little more role-focused, a little more technical, not…
130 00:19:49.050 ⇒ 00:19:56.420 Samuel Roberts: not, like, live coding during or using any tools then, but just chatting about AI and how you worked and things like that.
131 00:19:57.910 ⇒ 00:20:03.770 Samuel Roberts: If… if that one goes well, there’d be a… a kind of take-home tech assessment.
132 00:20:03.960 ⇒ 00:20:13.269 Samuel Roberts: That you would work on, put together, like, some kind of presentation on, and then there’d be a final interview that would be a panel interview.
133 00:20:13.510 ⇒ 00:20:27.550 Samuel Roberts: Because, the way we work, we’re talking to clients, you know, even the engineers are messaging clients, and we want to make sure that people can not only do the work, but also explain the work. And so, that one would be a little more… you’d already have done the work, you’d be showing it off.
134 00:20:27.710 ⇒ 00:20:33.520 Samuel Roberts: And then we’d be kind of asking you questions about it and diving in, and then after that would be a decision, so…
135 00:20:34.100 ⇒ 00:20:53.780 Ahmed: Perfect, perfect, perfect, yeah. That’s something people definitely like. Another thing I just, like, want to, like, put it out there because, like, that’s not in my CV, or, like, anywhere. So, like, I also worked for, like, in a sales company for, like, 6 months while I was doing my master’s, to pay for my master’s.
136 00:20:53.990 ⇒ 00:21:01.549 Ahmed: So, like, I have that kind of, like, sales things, like, I’ve worked in, like, commission-only, you know, hardcore sales.
137 00:21:01.550 ⇒ 00:21:02.330 Samuel Roberts: Okay.
138 00:21:02.330 ⇒ 00:21:07.879 Ahmed: Yeah, I was just doing that, like, for my master’s, but yeah, I do have, like, that kind of skill as well, so I just.
139 00:21:07.880 ⇒ 00:21:08.529 Samuel Roberts: Great, yeah.
140 00:21:08.730 ⇒ 00:21:11.380 Ahmed: Because, like, it’s not there in my CV or anywhere.
141 00:21:11.590 ⇒ 00:21:17.350 Samuel Roberts: Yeah, no, that’s good, that’s good to know, that’s good to know, because I definitely… one of the things we’re looking for is, you know, people that can…
142 00:21:17.600 ⇒ 00:21:22.559 Samuel Roberts: be in front of clients, like I said, we don’t want people that are just sitting behind the keyboard, pumping out code, and then someone.
143 00:21:22.560 ⇒ 00:21:22.889 Ahmed: Oh, yeah.
144 00:21:22.890 ⇒ 00:21:35.960 Samuel Roberts: go share that. You know, there’s a certain amount of coordination of who interacts with clients, but obviously the more well-rounded a candidate is, the more well-rounded the engineer is, then, you know.
145 00:21:35.960 ⇒ 00:21:36.800 Ahmed: Fair enough.
146 00:21:36.800 ⇒ 00:21:39.049 Samuel Roberts: They can contribute, so that’s good, that’s good to hear.
147 00:21:39.510 ⇒ 00:21:41.760 Samuel Roberts: Other, other questions you guys?
148 00:21:41.760 ⇒ 00:21:44.160 Ahmed: That’s pretty much about it.
149 00:21:44.160 ⇒ 00:21:54.010 Samuel Roberts: Okay, okay. Yeah, I think, we’ve covered, kind of what I wanted to cover. You got my last little update there, which would have been about the rest of the process.
150 00:21:54.370 ⇒ 00:22:00.879 Samuel Roberts: But yeah, I think, like I said, we… that’s the process. We try to move relatively quickly.
151 00:22:00.880 ⇒ 00:22:01.280 Ahmed: Yeah.
152 00:22:01.280 ⇒ 00:22:07.970 Samuel Roberts: you should hear back within a day or two, and then I keep saying scheduling is kind of the main bottleneck, because…
153 00:22:07.970 ⇒ 00:22:08.740 Ahmed: Yeah. You know, yeah.
154 00:22:08.740 ⇒ 00:22:11.609 Samuel Roberts: Gotta get synchronous time with people, and
155 00:22:11.790 ⇒ 00:22:22.260 Samuel Roberts: Besides that, we don’t like to drag things out, so, yeah, thank you so much for the time, and you should hear back from the recruitment team, pretty quickly, so…
156 00:22:22.260 ⇒ 00:22:25.400 Ahmed: Alright, perfect, perfect. Thank you, thank you for your time.
157 00:22:25.680 ⇒ 00:22:27.489 Samuel Roberts: Alright, yeah, you as well. Have a good day.
158 00:22:27.490 ⇒ 00:22:29.090 Ahmed: Alright, you too. Bye-bye.
159 00:22:29.090 ⇒ 00:22:29.780 Samuel Roberts: Bye-bye.