Meeting Title: Brainforge Introductory Meeting: Discussion with Joy Date: 2025-03-18 Meeting participants: Miguel De Veyra, Joy Oguntona


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1 00:00:12.090 00:00:13.450 Joy Oguntona: We plan on the video.

2 00:00:13.600 00:00:15.310 Joy Oguntona: I’m sorry. Let me know

3 00:13:43.500 00:13:45.309 Miguel de Veyra: Hey, joy! I’m so sorry.

4 00:13:51.270 00:13:51.950 Miguel de Veyra: Yep.

5 00:13:57.480 00:13:57.920 Joy Oguntona: Hello!

6 00:13:57.920 00:14:01.370 Miguel de Veyra: Man, I’m so yeah, I’m so sorry I was on a meeting, and you know

7 00:14:02.110 00:14:03.480 Joy Oguntona: Yeah, and it would be

8 00:14:04.444 00:14:06.090 Miguel de Veyra: Yeah. So how are you today?

9 00:14:06.220 00:14:06.910 Miguel de Veyra: Sorry?

10 00:14:07.247 00:14:09.270 Joy Oguntona: Fine. Thank you. How are you?

11 00:14:11.624 00:14:14.229 Miguel de Veyra: Yeah, doing. Great I was

12 00:14:15.728 00:14:22.140 Miguel de Veyra: a couple of client meetings, because there was some stuff that needed to get done. But

13 00:14:22.840 00:14:26.239 Miguel de Veyra: yeah. So I know you messaged with them right?

14 00:14:26.940 00:14:28.049 Joy Oguntona: Yeah, I do, too.

15 00:14:28.600 00:14:30.409 Miguel de Veyra: Okay, are you based in the States

16 00:14:31.030 00:14:33.040 Joy Oguntona: No, I’m based in Nigeria.

17 00:14:33.260 00:14:36.559 Miguel de Veyra: Oh, okay, okay, okay, yeah.

18 00:14:37.033 00:14:49.760 Miguel de Veyra: So yeah, quick. Intro about me. I’m Gail Deveda. I’m the head of AI. I’m I’m also not based in states. I’m actually based on Manila. So currently, it’s like almost 11 pm, my time

19 00:14:50.500 00:14:51.160 Joy Oguntona: Oh!

20 00:14:51.540 00:14:58.660 Miguel de Veyra: Yeah, so yeah, hobbies. Are you familiar with

21 00:14:59.590 00:15:01.770 Miguel de Veyra: Warhammer? Or no, not at all.

22 00:15:05.240 00:15:06.569 Miguel de Veyra: I think it got off.

23 00:15:15.160 00:15:16.200 Miguel de Veyra: I understand that

24 00:15:19.190 00:15:20.250 Joy Oguntona: Well, I’m not

25 00:15:21.790 00:15:22.709 Miguel de Veyra: Oh, there you go. Yeah, you’re

26 00:15:22.710 00:15:27.699 Joy Oguntona: Cool. Yeah. Sorry. Can you? Can you rephrase it again? You? Said Walmart, or like

27 00:15:28.069 00:15:34.720 Miguel de Veyra: Yeah, yeah, hobbies. I just do a bit of warhammer I paint. I collect figurines like.

28 00:15:35.130 00:15:37.700 Miguel de Veyra: I’m not sure if you can see it. But yeah, stuff like this.

29 00:15:38.110 00:15:38.729 Joy Oguntona: It’s what I can

30 00:15:38.730 00:15:43.129 Miguel de Veyra: Yeah, yeah, that’s what I geek geek out about. But yeah, I think that’s pretty much it

31 00:15:43.260 00:15:46.030 Miguel de Veyra: about me. I’m turning 25

32 00:15:46.500 00:15:49.940 Miguel de Veyra: tomorrow. No, the day after tomorrow. So

33 00:15:49.940 00:15:50.982 Joy Oguntona: Oh, yeah. Great.

34 00:15:51.490 00:15:57.090 Miguel de Veyra: So I’m actually 21. I will turn 22. In February, in April.

35 00:15:57.490 00:15:58.470 Joy Oguntona: Yes, so like.

36 00:15:58.470 00:16:01.509 Miguel de Veyra: Oh, okay. Oh, nice. Nice.

37 00:16:01.790 00:16:07.780 Joy Oguntona: So you’re yeah, I am. I just got it from investing. So

38 00:16:08.250 00:16:11.349 Miguel de Veyra: Oh, yeah, yeah, I read it. You just graduated.

39 00:16:11.805 00:16:13.850 Miguel de Veyra: So yeah, tell me about yourself. You know.

40 00:16:14.420 00:16:20.770 Joy Oguntona: Okay, yeah. So majorly, for like, obvious, I’m usually into like, cod, I didn’t play cod

41 00:16:21.280 00:16:27.030 Miguel de Veyra: At all, Judy. No, no, I didn’t like before. I played the story modes, but competitive. No.

42 00:16:27.630 00:16:32.500 Joy Oguntona: Now, okay. So I placed into like football manager games. So

43 00:16:32.500 00:16:34.620 Miguel de Veyra: Oh, football! Which team do you support?

44 00:16:35.562 00:16:40.799 Joy Oguntona: For like football, I’m really into it. But like I’m a packer fan

45 00:16:41.774 00:16:45.010 Miguel de Veyra: Barcelona, I played, I played in Barcelona before

46 00:16:45.500 00:16:46.550 Joy Oguntona: Oh!

47 00:16:46.922 00:16:50.060 Miguel de Veyra: Was part of our like national national team.

48 00:16:50.060 00:16:50.640 Miguel de Veyra: Wow.

49 00:16:50.640 00:16:57.780 Miguel de Veyra: and I, we played in Spain for like 2 or 3 weeks. But yeah, we got our we got beaten so bad

50 00:16:59.116 00:17:00.700 Miguel de Veyra: they’re they’re good. They’re good

51 00:17:00.970 00:17:03.659 Joy Oguntona: Why don’t you go for the like, you know, become a player

52 00:17:04.530 00:17:05.960 Miguel de Veyra: Sorry, what what position.

53 00:17:05.960 00:17:10.549 Joy Oguntona: Why did why did you go for that, like, you know, become like this? The normal player

54 00:17:12.329 00:17:18.069 Miguel de Veyra: When I went to Spain I realized how far good they are. I was like, I’m not beating them right. So

55 00:17:18.880 00:17:21.349 Miguel de Veyra: I’m an engineer, anyway. So

56 00:17:21.730 00:17:22.290 Joy Oguntona: But yeah.

57 00:17:22.290 00:17:26.719 Miguel de Veyra: That was almost like 8 years ago, 9 years ago. Yeah, it was way back

58 00:17:28.392 00:17:32.329 Joy Oguntona: Go faster. But I stress it out so

59 00:17:32.330 00:17:33.090 Miguel de Veyra: I know.

60 00:17:33.090 00:17:33.600 Joy Oguntona: Cool.

61 00:17:33.890 00:17:35.590 Miguel de Veyra: How you don’t play. Yeah, either.

62 00:17:36.040 00:17:38.309 Miguel de Veyra: Yeah. Once you see how good the.

63 00:17:38.410 00:17:43.539 Miguel de Veyra: So I was 14 that time. You see how good the 9 year olds are, and they’re beating you.

64 00:17:44.770 00:17:45.750 Miguel de Veyra: Mate, no.

65 00:17:46.240 00:17:51.040 Joy Oguntona: Well, that’s great. So

66 00:17:51.040 00:17:52.970 Miguel de Veyra: Sorry. Go ahead. Sorry

67 00:18:00.740 00:18:02.479 Miguel de Veyra: I think I lost you again.

68 00:18:09.080 00:18:12.569 Joy Oguntona: Like a phone call. So sorry. That’s just sending disruption

69 00:18:13.377 00:18:18.080 Miguel de Veyra: Yeah, no worries staring at my paintings.

70 00:18:20.774 00:18:25.720 Miguel de Veyra: But yeah, yeah. Okay. So how how did you?

71 00:18:25.910 00:18:27.680 Miguel de Veyra: How did you find Brain Forge?

72 00:18:27.850 00:18:28.950 Miguel de Veyra: Is it through Linkedin

73 00:18:29.740 00:18:35.589 Joy Oguntona: Yeah, it’s feeling very nice. So I was searching for you know, AI companies and automation, too.

74 00:18:35.850 00:18:41.159 Joy Oguntona: 24 just popped up. And I reach out to, you, know, down through email, then communicate it to you.

75 00:18:41.520 00:19:05.730 Miguel de Veyra: Oh, yeah, yeah. Sorry it should have. This meeting should have been, you know, scheduled like, maybe a week ago. But yeah, so we had like a pretty big client, and we didn’t have a Pm. Until last week. So I was doing the development, and I was also talking to the clients, you know, back and forth, and then given the timeframe. Yeah, I was basically working 16 h work days. But yeah, we have a Pm. Now. So I don’t do it anymore.

76 00:19:06.320 00:19:10.140 Miguel de Veyra: A bit more relaxed. Now, yeah. So

77 00:19:10.980 00:19:17.710 Miguel de Veyra: honestly, this call was just, you know, get to know each other because we had a talk with the Swedish guy before.

78 00:19:17.890 00:19:23.599 Miguel de Veyra: but he was looking for something a bit more point time, and we’re looking for like a full time developer

79 00:19:23.750 00:19:26.619 Joy Oguntona: So is that something that you’re looking for

80 00:19:27.370 00:19:27.970 Miguel de Veyra: A full time

81 00:19:28.273 00:19:30.699 Joy Oguntona: If the time will be very brief. Yes.

82 00:19:31.110 00:19:45.620 Miguel de Veyra: Okay, nice? Nice. Okay? Because, yeah, that’s a problem. When you know, people apply, they already have jobs. And then they’re not really into the full time stuff. So it’s a bit hard to manage resources when you’re available. Only like for a couple of hours a day. But yeah, that’s good to hear

83 00:19:47.170 00:19:53.890 Miguel de Veyra: you’ve built agents using Zapier, and make, from what I understand right

84 00:19:54.290 00:19:55.680 Joy Oguntona: Yeah, it was happy.

85 00:19:57.620 00:20:04.430 Miguel de Veyra: Yeah. Have you had experience with building chat bots? I’m not sure if you can build a chatbot through Zapier, but I know you can

86 00:20:05.200 00:20:23.730 Joy Oguntona: Oh, okay, you can. But it’s kind of like, is no real time. But if it’s like, maybe the telegram ports which you know connected to Cpr. But I don’t know. We know many chats obviously in the past. So before the actual

87 00:20:23.960 00:20:28.960 Joy Oguntona: I work with many chats is like is a Chatbot built on top of Facebook messenger.

88 00:20:29.200 00:20:32.130 Joy Oguntona: So I’ll use that in the past. So I haven’t

89 00:20:32.130 00:20:32.630 Miguel de Veyra: That helps

90 00:20:32.630 00:20:34.700 Joy Oguntona: Good experience, but

91 00:20:35.420 00:20:46.219 Miguel de Veyra: Okay, so can you tell me? Of course I know there’s probably an nda. But what’s the most not complicated. But what would you say is the coolest. What you’ve built, or something that just really, you know.

92 00:20:46.990 00:20:48.010 Miguel de Veyra: change things

93 00:20:48.620 00:21:05.960 Joy Oguntona: Okay for the coolest part. I built later. So is it. And it’s my personal. So it takes, let’s say, is during charge 3.5. So that was like 2, 2023,

94 00:21:06.080 00:21:22.180 Joy Oguntona: yeah, so 2023. So I created this website. It takes for creating letter card for your loved ones and stuff. So it puts you include and everything. Then it generate the letter card.

95 00:21:22.580 00:21:34.549 Joy Oguntona: the image, and so far, and then, while I work.

96 00:21:35.600 00:21:42.540 Joy Oguntona: So for work I am majorly. I think the most complicated of our views, not cool, but like complicated.

97 00:21:42.650 00:21:58.030 Joy Oguntona: So is it takes is like for forensic. So it takes like a series of documents, you know, pass it to different AI. So let’s say, create. The particular section

98 00:21:58.350 00:22:01.349 Joy Oguntona: is for forensic or crypto forensic. I tried it, too.

99 00:22:02.790 00:22:06.420 Joy Oguntona: And then I point to this Api, you just basically

100 00:22:06.540 00:22:14.039 Joy Oguntona: connecting documents together just to create a full long document, but like not one year. So just imagine, like 2 years together.

101 00:22:15.100 00:22:17.909 Miguel de Veyra: Okay, yeah. So you have this.

102 00:22:18.420 00:22:21.480 Miguel de Veyra: Yeah, yeah, I kind of get the gist of it. But yeah,

103 00:22:22.810 00:22:31.610 Miguel de Veyra: okay, yeah. So you do have a bit of experience in like building AI agents and stuff. How long have you been working on this stuff? So I would assume 23 is around 2 years now.

104 00:22:32.470 00:22:44.879 Joy Oguntona: Yeah, okay, so yeah, generally is around here that we like for AI, but for automation, general automation is like, since 2021, 2022 like generally

105 00:22:44.880 00:22:45.440 Miguel de Veyra: Oh!

106 00:22:45.440 00:22:48.809 Joy Oguntona: Both. Yeah, it’s like 2022,

107 00:22:50.470 00:22:51.916 Miguel de Veyra: Okay? Yeah.

108 00:22:53.210 00:23:05.559 Miguel de Veyra: So let’s say, I know this is the 30.th So I’m interested in what you’ll what you do. Let’s say we task you with building like a chat bot, for you know one of our clients there.

109 00:23:05.710 00:23:14.730 Miguel de Veyra: And if, for example, they’re let’s say, let’s say that they’re a Health Insurance Company, and what they want to do is they want to run

110 00:23:15.100 00:23:34.309 Miguel de Veyra: like they have hundreds of thousands of people right? And then they want to know which ones they, for example, they have a promotion, or Hey, it’s 50% for this type of surgery, maybe elastic surgery. It’s not necessary, but you know it could be done. It’s good for you. How would you approach that? Just the general overview? 2 to 3 sentences is fine.

111 00:23:35.190 00:23:40.009 Joy Oguntona: Okay? Well, 1st of all, of course, on categorization, you need to break into categories.

112 00:23:40.330 00:23:43.124 Joy Oguntona: So, for example, person that wants

113 00:23:44.506 00:23:49.589 Joy Oguntona: can like create A for the

114 00:23:59.200 00:24:02.700 Joy Oguntona: they’re creating branch. If it is category

115 00:24:04.330 00:24:04.890 Miguel de Veyra: Sorry. I think

116 00:24:04.890 00:24:06.709 Joy Oguntona: Like this is already

117 00:24:07.020 00:24:09.540 Miguel de Veyra: You got cut off again, my bad, when you were explaining

118 00:24:10.510 00:24:19.340 Joy Oguntona: Sorry. Okay, so basically, it’s our Casey category. So and then I’ll pick a branch if it’s like, for example, in this particular

119 00:24:19.520 00:24:31.690 Joy Oguntona: and information like just coming into the agent. If this is yes, it puts to this particular branch, there’s no switch.

120 00:24:31.910 00:24:36.010 Joy Oguntona: Happy to switch. If this meet this particular category. So immediately has.

121 00:24:36.560 00:24:40.409 Joy Oguntona: So we are focused on categorization focus on category

122 00:24:41.110 00:24:41.820 Miguel de Veyra: Okay. Yeah.

123 00:24:41.820 00:24:42.629 Joy Oguntona: Yeah, for me.

124 00:24:43.300 00:24:47.620 Miguel de Veyra: Okay, yeah. Actually, I built something like that for one of our clients.

125 00:24:47.740 00:24:54.339 Miguel de Veyra: I just wanted to see how you’d approach it from a general point of view. So basically, what we did was

126 00:24:54.720 00:24:58.279 Miguel de Veyra: we run it per record like, hey, what’s the input? What’s the stuff

127 00:24:58.280 00:25:00.639 Joy Oguntona: And then here’s the we

128 00:25:00.640 00:25:03.810 Miguel de Veyra: Had. Like, you know, one word when was, wait, mechanic.

129 00:25:04.920 00:25:09.253 Miguel de Veyra: like cats are killing each other. Sorry. So it’s basically

130 00:25:10.720 00:25:23.879 Miguel de Veyra: what’s the input, basically what’s the promotion? What’s the what? When was the latest visit of this patient? And then what’s the update? And then stuff like that? And then basically from there we just analyze if they’re, you know.

131 00:25:24.010 00:25:24.560 Miguel de Veyra: if this

132 00:25:24.560 00:25:38.970 Miguel de Veyra: this is something we can upsell something to or not. And then from that, you know, it just goes back and forth. But yeah, it’s pretty similar to what you said. It’s categorization. And then we basically categorize, categorize it to actionable records. And then unaffionable patients.

133 00:25:39.330 00:25:45.610 Miguel de Veyra: So they can see because no one’s gonna check that 100,000 every one month. No one’s gonna do that.

134 00:25:45.610 00:25:46.300 Joy Oguntona: That’s true.

135 00:25:46.800 00:25:48.140 Miguel de Veyra: And

136 00:25:48.350 00:25:49.195 Joy Oguntona: Wait

137 00:25:50.170 00:25:56.049 Miguel de Veyra: So I know you’ve I probably sent you a tech stack right? We primarily use any 10

138 00:25:57.522 00:25:59.970 Joy Oguntona: Anything. Yeah. Include me?

139 00:25:59.970 00:26:02.230 Miguel de Veyra: Have you had a chance to have a look at it?

140 00:26:02.680 00:26:13.319 Joy Oguntona: Yeah, I did. I took a look at this. It’s pretty similar to me, but that is the agent function

141 00:26:13.320 00:26:19.809 Miguel de Veyra: Yeah, I would say, cause I have. I have a lot of experience who would make, I would say, any 10 is a

142 00:26:20.150 00:26:27.859 Miguel de Veyra: honestly, I find it easier to use. Some people find it harder, but I find any and easier to use, and then it’s just a lot more

143 00:26:28.500 00:26:31.439 Miguel de Veyra: freedom in terms of capabilities.

144 00:26:31.590 00:26:36.249 Miguel de Veyra: But yeah, I think if you’re from make you should be able to do it like

145 00:26:37.463 00:26:49.360 Miguel de Veyra: to to adapt basically transition. And then we use a lot of, although I’m the I’m the only one who can code in react. Basically. So we need some. Ui. So I am the one who does that

146 00:26:50.060 00:26:52.400 Miguel de Veyra: you’re looking into python also, right?

147 00:26:52.740 00:26:58.959 Joy Oguntona: Yes, I am so so I’m trying to

148 00:26:59.200 00:26:59.440 Miguel de Veyra: Yeah.

149 00:26:59.440 00:27:03.239 Joy Oguntona: I’m still like we’re buying, but like trying to patch off

150 00:27:03.890 00:27:06.300 Miguel de Veyra: I mean, if you know what you want.

151 00:27:06.680 00:27:10.229 Miguel de Veyra: you can, and you have Gpt, you can probably find a way to do

152 00:27:10.230 00:27:10.860 Joy Oguntona: Yeah.

153 00:27:10.860 00:27:18.289 Miguel de Veyra: We encourage it so much that, hey? If you know, use Gpt all the time, save your brain power.

154 00:27:18.390 00:27:19.743 Miguel de Veyra: But yeah,

155 00:27:22.092 00:27:29.320 Miguel de Veyra: so yeah, I don’t think there will be a much problem with you and Windmill. And any then.

156 00:27:31.000 00:27:33.630 Miguel de Veyra: oh, yeah. Another question is, are you more of like a

157 00:27:34.580 00:27:41.739 Miguel de Veyra: like. For example, if there’s something that needs to be built, do you try to map everything out, or you? You’ll just go, as you, you know.

158 00:27:44.332 00:27:45.599 Miguel de Veyra: figured. That’s like

159 00:27:47.544 00:27:53.880 Joy Oguntona: What I’m working on

160 00:27:54.290 00:27:54.890 Miguel de Veyra: Oh, okay.

161 00:27:54.890 00:28:01.839 Joy Oguntona: And then from there I can like, you know, I can just fill out stuff on the way. So

162 00:28:03.980 00:28:16.809 Miguel de Veyra: I’m a bit of like on the go, like, I believe there’s limitations to theory, right? That, you know, like you don’t know. Then once you try it out. Oh, it wasn’t that hard I was overthinking it. But then.

163 00:28:16.810 00:28:17.689 Miguel de Veyra: now, if you

164 00:28:17.690 00:28:26.360 Miguel de Veyra: if you’re yeah, if you’re just working on it like always, you know, head first, st and you don’t plan. There’s also a big chance of

165 00:28:26.950 00:28:29.189 Miguel de Veyra: you get lost, and there’s no progress

166 00:28:29.740 00:28:30.190 Joy Oguntona: That’s good.

167 00:28:30.190 00:28:32.360 Miguel de Veyra: Because you don’t have. But yeah.

168 00:28:32.550 00:28:35.320 Miguel de Veyra: now I’m finding like, the balance and stuff like that.

169 00:28:37.650 00:28:42.169 Miguel de Veyra: Yeah. So I think, wait, let me check my list of questions.

170 00:28:43.580 00:28:50.019 Miguel de Veyra: I think that’s pretty much it. What kind of projects are you most interested in working on?

171 00:28:50.610 00:28:59.970 Miguel de Veyra: Like, what type of AI agents, automations like, is it voice agents? Is it chat bots? Is it record analyzers web scrapers

172 00:29:00.960 00:29:03.919 Joy Oguntona: Okay? So basically, I majorly work with them.

173 00:29:04.220 00:29:07.369 Joy Oguntona: test this, everything I work is usually test this

174 00:29:07.610 00:29:13.769 Joy Oguntona: voice. You, okay, because you know, you can just pass it through, and then send it to like an open AI

175 00:29:14.250 00:29:20.219 Joy Oguntona: of trying to remember the name.

176 00:29:20.380 00:29:37.670 Joy Oguntona: so send it to you. Then I can take it further from there. But generally I’m used to work on test this mode so I can work with script. Actually.

177 00:29:37.840 00:29:42.660 Joy Oguntona: maybe I can get better with that, but I barely work on it personally. So oh, yeah.

178 00:29:42.660 00:29:43.990 Joy Oguntona: stuff. And it’s a catch up on

179 00:29:44.720 00:29:48.199 Miguel de Veyra: Yeah, okay, yeah. And then I think the other big thing is

180 00:29:48.200 00:29:48.780 Joy Oguntona: Shit

181 00:29:48.780 00:29:50.050 Miguel de Veyra: The working hours.

182 00:29:50.690 00:29:55.319 Miguel de Veyra: I mean, there’s we don’t really have a specific amount of working hours, but we do have like a daily stand up

183 00:29:55.890 00:29:58.409 Miguel de Veyra: like, I think it’s around

184 00:29:58.860 00:30:07.359 Miguel de Veyra: it. It varies. But around 9 to 10 pm. Philippine, time. So that’s GMT, plus 8. That’s around 10 Am. Texas to 9 am. Texas.

185 00:30:09.490 00:30:12.689 Miguel de Veyra: Yeah, are you like, what time is it currently in your office?

186 00:30:13.320 00:30:16.559 Joy Oguntona: This is for 3 50 to this 4 o’clock

187 00:30:17.440 00:30:19.460 Miguel de Veyra: Okay, so am. Or pm.

188 00:30:19.840 00:30:20.630 Joy Oguntona: PM,

189 00:30:21.020 00:30:23.979 Miguel de Veyra: Also, it’s it’s not gonna be a big issue for you either way.

190 00:30:23.980 00:30:24.899 Joy Oguntona: Is that going to be

191 00:30:24.900 00:30:31.169 Miguel de Veyra: Yeah, cause for us like, especially when the time changes before I was working until 7 Am. My time.

192 00:30:31.340 00:30:36.130 Miguel de Veyra: So I was hiring some of my friends. But there’s like, no way I’m gonna work until 7 am.

193 00:30:37.720 00:30:38.700 Miguel de Veyra: But yeah, I don’t think that

194 00:30:39.050 00:30:44.463 Miguel de Veyra: too much of a problem. Okay, yeah. I think that’s pretty much it.

195 00:30:45.557 00:30:53.600 Miguel de Veyra: you’ll probably the next phase of the interview is probably gonna be a technical part of it, like we just wanna see how you’ll do on any then.

196 00:30:53.800 00:30:57.209 Miguel de Veyra: because you know as much as we want to, you know.

197 00:30:58.017 00:31:05.199 Miguel de Veyra: train people we have like a lot of clients right now, that needs cause. We also consider, like the in the internal teams, our clients.

198 00:31:05.440 00:31:08.099 Miguel de Veyra: So like, there’s a lot of stuff that we need to do.

199 00:31:08.350 00:31:13.422 Miguel de Veyra: But yeah, I think you’ll crush it. To be honest, I’ll talk to them about you.

200 00:31:14.380 00:31:20.399 Miguel de Veyra: probably today, because I’m not going to be here on Thursday, Friday. Obviously, I’m gonna be going to the beach

201 00:31:21.020 00:31:21.790 Miguel de Veyra: and thank you

202 00:31:21.790 00:31:22.425 Joy Oguntona: Nice

203 00:31:23.060 00:31:31.230 Miguel de Veyra: Yeah, I’ll send him. I’ll send him. I’ll send him the my feedback on this interview, but I think so far it’s been good.

204 00:31:32.930 00:31:41.039 Miguel de Veyra: and then the next part might be, are you a technical interview, as I mentioned? Are you working on any job right now? By the way.

205 00:31:41.910 00:31:46.380 Joy Oguntona: No, I do freelancing sometimes. So, oh, okay, okay, but yes.

206 00:31:46.380 00:31:50.200 Miguel de Veyra: So there’s no need for you to submit like a 2 week or a 1 month. Notice

207 00:31:50.600 00:31:51.549 Joy Oguntona: No, it isn’t

208 00:31:51.960 00:31:53.736 Miguel de Veyra: Okay, okay, yeah.

209 00:31:55.040 00:32:06.219 Miguel de Veyra: I’ll clarify with the team. But are you open to? Because you know, normally, what we do is we start with a trial like maybe a month or 2, you start as of a part time. It’s basically

210 00:32:06.340 00:32:09.440 Joy Oguntona: No, no, I can do that again

211 00:32:09.850 00:32:16.260 Miguel de Veyra: Yeah, okay, we’ll test out. You know how you handle stuff, how you handle pressure and everything else.

212 00:32:16.410 00:32:21.220 Miguel de Veyra: how you adapt to the team. And then after that you’ll go full time

213 00:32:22.140 00:32:22.730 Joy Oguntona: You know.

214 00:32:22.730 00:32:29.530 Miguel de Veyra: Depends on, because we want to know, if you like working with us. And also we want to know if you know, if it’s a good fit for the both of us.

215 00:32:30.520 00:32:55.229 Miguel de Veyra: To give you an example, one of my friends, that cause I was working with one of our best engineers here before I was actually this manager on like a previous team. So I know he was pretty good. So I did him here when I moved it, and then the same applied, you know, 3 months of part time. But then we did move him to part time after, like a couple of weeks to full time after a couple of weeks, because he was just crushing.

216 00:32:56.612 00:32:58.937 Miguel de Veyra: Yeah, I think that’s pretty much it.

217 00:32:59.620 00:33:02.040 Miguel de Veyra: How about salary expectations?

218 00:33:02.350 00:33:04.379 Miguel de Veyra: How much are you like looking for

219 00:33:05.360 00:33:20.889 Joy Oguntona: Okay. To be honest, I’ve already talked about that. So for I’m thinking, what if I can know, think I’m going to work with it and that work with the team. I’m sure you have like a salary grid already, like when someone like that

220 00:33:21.310 00:33:25.440 Miguel de Veyra: I like a salary like the rate that we have

221 00:33:26.790 00:33:33.400 Joy Oguntona: No, yeah, I’m think I’m saying like we should do have like an internal race of like when you’re hiring like a

222 00:33:34.220 00:33:34.630 Miguel de Veyra: How are you?

223 00:33:34.630 00:33:36.040 Joy Oguntona: Oh, like somebody

224 00:33:38.107 00:33:46.139 Miguel de Veyra: I don’t think I’m allowed to discuss with, because I don’t handle the finances. So I just wanna gauge like how much you know you’re looking for. So I can

225 00:33:47.050 00:33:50.459 Miguel de Veyra: negotiate with Uttam basically, or talk to Uttam about it.

226 00:33:50.990 00:33:53.450 Miguel de Veyra: Just a rough number, you know. It’s a ballpark estimate

227 00:33:53.897 00:33:55.240 Joy Oguntona: Maybe from 50.

228 00:33:56.600 00:33:57.759 Joy Oguntona: Power. Oh.

229 00:33:57.760 00:33:59.630 Miguel de Veyra: Earlier, yeah, yeah.

230 00:33:59.810 00:34:04.090 Joy Oguntona: Maybe 20 per hour, $20 per hour, 15 to 20.

231 00:34:04.380 00:34:05.000 Joy Oguntona: There we go.

232 00:34:05.990 00:34:07.450 Joy Oguntona: So okay, sure.

233 00:34:08.170 00:34:12.600 Joy Oguntona: I don’t know how it works. So I’m not really. I’m still new to my working environment.

234 00:34:13.190 00:34:18.670 Miguel de Veyra: Okay, okay, sure. Sure. Okay, yeah. I’ll speak to them about it. And then I’ll let you know

235 00:34:19.449 00:34:20.170 Joy Oguntona: Okay.

236 00:34:20.170 00:34:22.699 Miguel de Veyra: Okay, okay, I think that’s pretty much it.

237 00:34:22.870 00:34:23.210 Miguel de Veyra: Yeah, man.

238 00:34:23.219 00:34:23.899 Joy Oguntona: For the rules.

239 00:34:24.510 00:34:29.919 Joy Oguntona: Yeah, so is it like, more. 8 h per day, like, how does the

240 00:34:30.370 00:34:35.889 Joy Oguntona: working hours is like full time or full time. This is like a role

241 00:34:36.370 00:34:37.359 Miguel de Veyra: Oh, yeah, that’s right.

242 00:34:38.620 00:34:41.970 Miguel de Veyra: Once you go full time. Yes, it’s gonna be like around 8 HA day.

243 00:34:42.070 00:34:45.050 Miguel de Veyra: Yeah. But for part time it’s like 4 HA day.

244 00:34:46.270 00:34:54.559 Miguel de Veyra: And then we use a time tracker. We don’t really take screenshots of your computer. It’s just a log on how many hours we’ve worked on a client.

245 00:34:55.150 00:34:58.270 Miguel de Veyra: I think it’s Glockify. I’m not sure if that’s the thing

246 00:34:58.270 00:35:01.980 Joy Oguntona: Oh, yeah, I’m I’m used to that. I think I need platforms.

247 00:35:02.220 00:35:02.970 Miguel de Veyra: Okay?

248 00:35:04.230 00:35:07.420 Miguel de Veyra: Okay, yeah. I think that’s pretty much it. Do you have any more questions for me?

249 00:35:08.238 00:35:09.910 Joy Oguntona: I think that was all for my end.

250 00:35:10.310 00:35:12.670 Miguel de Veyra: Okay, okay, sure.

251 00:35:13.090 00:35:14.350 Miguel de Veyra: Thanks, Jordan.

252 00:35:15.180 00:35:17.880 Miguel de Veyra: I think you’ll hear back from us soon.

253 00:35:18.320 00:35:19.450 Joy Oguntona: It’s not

254 00:35:19.450 00:35:25.540 Miguel de Veyra: Yeah, if not this week, it’s probably gonna be next. Because I’m you know, I’m out technically starting tomorrow. But

255 00:35:25.950 00:35:26.640 Miguel de Veyra: okay.

256 00:35:27.110 00:35:27.880 Joy Oguntona: Yeah, thank, you.

257 00:35:27.880 00:35:29.090 Miguel de Veyra: Thanks. Have a good day.

258 00:35:29.090 00:35:30.500 Joy Oguntona: You too, you too!

259 00:35:30.500 00:35:31.100 Miguel de Veyra: Bye, bye.