Meeting Title: ABC Standup Date: 2025-08-05 Meeting participants: Mustafa Raja, Vashdev Heerani, Casie Aviles, Annie Yu, Amber Lin
WEBVTT
1 00:04:38.960 ⇒ 00:04:39.980 Mustafa Raja: Hey, guys.
2 00:04:45.940 ⇒ 00:04:46.590 Casie Aviles: Hey!
3 00:04:47.770 ⇒ 00:04:48.490 Mustafa Raja: How about you?
4 00:04:51.085 ⇒ 00:04:52.600 Casie Aviles: Yeah, I am fine.
5 00:04:54.720 ⇒ 00:04:55.580 Vashdev Heerani: Hello!
6 00:04:56.590 ⇒ 00:04:58.590 Mustafa Raja: Hey? How are you? How’s the day going.
7 00:04:59.700 ⇒ 00:05:01.169 Vashdev Heerani: I’m good. How are you?
8 00:05:01.670 ⇒ 00:05:02.630 Mustafa Raja: Yeah. Good.
9 00:15:34.135 ⇒ 00:15:39.900 Amber Lin: Hopefully check. I mean, oh.
10 00:15:43.510 ⇒ 00:15:44.990 Amber Lin: perfect.
11 00:15:51.670 ⇒ 00:15:52.740 Amber Lin: Okay.
12 00:15:56.600 ⇒ 00:16:00.690 Amber Lin: And you just quickly on the ABC side.
13 00:16:01.360 ⇒ 00:16:05.840 Amber Lin: Oh, okay, that’s cleaned up.
14 00:16:06.670 ⇒ 00:16:13.280 Amber Lin: Central talk. So waiting on that Inspector sheet errors.
15 00:16:15.450 ⇒ 00:16:16.530 Amber Lin: Oh.
16 00:16:20.600 ⇒ 00:16:25.649 Amber Lin: hey, Sam! And so anything on the ABC side that needs review or anything you’re still doing.
17 00:16:28.625 ⇒ 00:16:30.880 Mustafa Raja: Yeah, so.
18 00:16:31.927 ⇒ 00:16:33.522 Amber Lin: On the
19 00:16:35.302 ⇒ 00:16:50.599 Mustafa Raja: On the cleanup for the spreadsheet. I did add, add the names of the association with the emails. I couldn’t find name names of names for 3 emails. Apart from that, everyone should be in there.
20 00:16:50.860 ⇒ 00:16:52.030 Amber Lin: Okay. Awesome.
21 00:16:52.381 ⇒ 00:16:55.900 Mustafa Raja: This is for 6 0 6 ABC, 6 0 6.
22 00:16:56.160 ⇒ 00:16:56.960 Amber Lin: Yeah.
23 00:17:05.160 ⇒ 00:17:06.040 Amber Lin: Okay.
24 00:17:07.810 ⇒ 00:17:09.310 Amber Lin: Alright. Anything else on.
25 00:17:09.310 ⇒ 00:17:10.130 Mustafa Raja: And
26 00:17:11.359 ⇒ 00:17:31.079 Mustafa Raja: yeah, and and for the 5 96 I I think I think it’s pretty pretty good. if if a person is in multiple departments departments. It asks, which department is the question referring to
27 00:17:31.592 ⇒ 00:17:34.409 Mustafa Raja: and keeps that in in its context.
28 00:17:36.900 ⇒ 00:17:37.640 Amber Lin: Awesome.
29 00:17:39.440 ⇒ 00:17:43.700 Amber Lin: Yeah. Oh, to it.
30 00:17:50.030 ⇒ 00:17:52.340 Amber Lin: Platform.
31 00:17:56.760 ⇒ 00:17:57.480 Casie Aviles: Sorry.
32 00:17:57.760 ⇒ 00:17:59.670 Casie Aviles: I think you you were cutting.
33 00:18:00.850 ⇒ 00:18:09.270 Amber Lin: Yeah. Oh, sorry. My Internet really bad anything on the seaside that we need to look at before I hop to the data platform.
34 00:18:11.749 ⇒ 00:18:17.612 Casie Aviles: I guess for me, it’s just my updates. Yeah, I’ve I’ve had the
35 00:18:18.540 ⇒ 00:18:21.969 Casie Aviles: updated like the the feedback thing. So now they should be.
36 00:18:22.510 ⇒ 00:18:33.329 Casie Aviles: there should be the departments that should show up alongside the feedback. So we know if it’s best mechanic or mechanical, or both.
37 00:18:35.220 ⇒ 00:18:39.210 Amber Lin: Okay, sounds good, you know.
38 00:18:39.330 ⇒ 00:18:41.330 Amber Lin: I think that’s all.
39 00:18:42.690 ⇒ 00:18:52.310 Amber Lin: Do you guys mind just sitting on until I finish if we can talk about any. Pm, AI items.
40 00:18:53.280 ⇒ 00:18:54.210 Amber Lin: Oh, sure.
41 00:18:54.210 ⇒ 00:18:58.899 Amber Lin: I’ll let you know I’m done so for you to do other stuff. I’ll ping you when I’m done.
42 00:18:59.470 ⇒ 00:19:04.520 Amber Lin: Okay, data platform current issues.
43 00:19:05.870 ⇒ 00:19:16.640 Amber Lin: Okay, have any advice of have you had a chance to look at the dashboarding plan that I sent.
44 00:19:21.430 ⇒ 00:19:30.619 Vashdev Heerani: Not yet. Right now I am working on 1, 1, 9 in investigate and failure.
45 00:19:31.450 ⇒ 00:19:33.180 Amber Lin: Hmm, okay.
46 00:19:34.680 ⇒ 00:19:35.440 Amber Lin: Yeah.
47 00:19:35.440 ⇒ 00:19:37.179 Vashdev Heerani: Yes, so I have created.
48 00:19:39.260 ⇒ 00:19:46.790 Vashdev Heerani: I have create. Pr, but it’s failing. So I am making some changes to make it correct.
49 00:19:49.030 ⇒ 00:20:04.749 Amber Lin: Okay, sounds good. I think for for you. That will be the main task. And then I know there’s a DVD project, and when you get time. Can you help read the plan that I sent in the document and ask a wish? If you have any questions?
50 00:20:04.880 ⇒ 00:20:09.969 Amber Lin: I think the same for Annie. When you get time, read that document.
51 00:20:10.580 ⇒ 00:20:21.760 Amber Lin: I think it will make it more clear to you. Because, I added the requirements based on what we wanted. And we can discuss.
52 00:20:21.930 ⇒ 00:20:37.410 Amber Lin: we can based on that. We can discuss. Okay, what type of charts do we need? And you can tell, hey, I need modeling for this item. I need support for that, so that we can get everything lined to do the dashboarding
53 00:20:37.590 ⇒ 00:20:43.919 Amber Lin: and also operating clock fight. Data are also available in snowflake.
54 00:20:47.270 ⇒ 00:20:51.779 Annie Yu: Okay, I haven’t got a chance to work on this at all this week.
55 00:20:52.440 ⇒ 00:21:05.329 Amber Lin: I know, Emma, you were so busy I know exactly what you were doing. Okay? So I think these would be gosh, I don’t know when you’ll have time for this.
56 00:21:05.810 ⇒ 00:21:09.240 Amber Lin: Yeah. And I already, I think, yeah.
57 00:21:09.240 ⇒ 00:21:15.220 Annie Yu: Yeah, no, I wanted to ask. I should prioritize the spark, plug plug thing over this.
58 00:21:15.220 ⇒ 00:21:27.643 Amber Lin: One, and then yes, so I think when you get time, just take a skim. Read over to start with. Just take a skim, read over the document. I linked it over here.
59 00:21:28.170 ⇒ 00:21:34.590 Amber Lin: I think that will give you some context of what we’re even doing and what we’re trying to build.
60 00:21:34.910 ⇒ 00:21:38.199 Amber Lin: and then later on, if you have time, we can
61 00:21:38.330 ⇒ 00:21:41.909 Amber Lin: do the Eda on linear data. I know both of you have tasks.
62 00:21:41.910 ⇒ 00:21:43.799 Annie Yu: Okay, reading this first.st
63 00:21:43.800 ⇒ 00:21:44.430 Amber Lin: Thank you.
64 00:21:45.240 ⇒ 00:21:51.259 Amber Lin: Yeah, read it. Read it first, st so that you know what you’re what you’re even, Eda for.
65 00:21:52.630 ⇒ 00:21:53.460 Annie Yu: okay.
66 00:21:53.460 ⇒ 00:21:57.819 Amber Lin: Okay, and that should take a lot less time than doing the appda.
67 00:21:58.770 ⇒ 00:21:59.440 Annie Yu: Okay.
68 00:22:02.610 ⇒ 00:22:08.030 Amber Lin: Alright, all for the
69 00:22:11.560 ⇒ 00:22:13.910 Amber Lin: that’s all for all for the day.
70 00:22:15.390 ⇒ 00:22:31.640 Amber Lin: Can you send an update on these tickets? And if you’re blocked, tag away. So we can help escalate and not have it be blocked for too long. Hold off on this, for now I’ll say
71 00:22:32.040 ⇒ 00:22:35.662 Amber Lin: this is to do. And then
72 00:22:36.340 ⇒ 00:22:39.869 Amber Lin: yeah, I think that’s all. I’ll check in on progress tomorrow.
73 00:22:41.190 ⇒ 00:22:42.219 Amber Lin: All right.
74 00:22:43.244 ⇒ 00:22:49.429 Amber Lin: I think that’s all feel free to hop off. I’ll talk with Mustafa and Casey on the AI AI projects.
75 00:22:49.690 ⇒ 00:22:50.236 Annie Yu: Thank you.
76 00:22:51.580 ⇒ 00:22:52.809 Amber Lin: Yeah, thank you both.
77 00:22:56.150 ⇒ 00:22:57.320 Amber Lin: Okay.
78 00:22:57.570 ⇒ 00:23:00.470 Amber Lin: Oh, Vasha, feel free to call.
79 00:23:02.340 ⇒ 00:23:04.560 Vashdev Heerani: Sorry I’m not able to hear you.
80 00:23:06.030 ⇒ 00:23:09.459 Amber Lin: Oh, sorry. Feel free to hop. We’re done with the data platform stuff.
81 00:23:11.130 ⇒ 00:23:11.840 Vashdev Heerani: Okay.
82 00:23:12.610 ⇒ 00:23:13.460 Vashdev Heerani: Thank you.
83 00:23:16.730 ⇒ 00:23:18.040 Amber Lin: So far anything.
84 00:23:26.780 ⇒ 00:23:28.759 Mustafa Raja: Yeah, sorry you’re cutting off amber.
85 00:23:33.840 ⇒ 00:23:40.089 Amber Lin: Let me stop sharing anything on the Aipm side.
86 00:23:41.390 ⇒ 00:23:43.510 Mustafa Raja: Yeah, I guess.
87 00:23:45.378 ⇒ 00:23:53.630 Mustafa Raja: So the for the weekly updates that the bot is sending. If I’d ask if that’s good enough for now.
88 00:23:55.300 ⇒ 00:24:00.839 Amber Lin: Yeah, I think that’s good enough, for now I’ve I still need to
89 00:24:02.060 ⇒ 00:24:09.730 Amber Lin: do more of the tests, the testing more. I think that’s good enough for now.
90 00:24:10.370 ⇒ 00:24:11.100 Mustafa Raja: Yeah.
91 00:24:11.680 ⇒ 00:24:16.319 Mustafa Raja: Yeah. From my side, I think that that would be. That would be. That would be all.
92 00:24:17.327 ⇒ 00:24:23.759 Casie Aviles: There’s not much, either. I know we have, like the grooming thing, the group, the ticket grooming.
93 00:24:23.760 ⇒ 00:24:24.360 Amber Lin: Yeah.
94 00:24:25.039 ⇒ 00:24:31.329 Casie Aviles: Although I think that’s going to be reassigned. We we haven’t really set
95 00:24:32.460 ⇒ 00:24:36.920 Casie Aviles: when we we have to continue on that. But yeah, I guess that’s pretty much.
96 00:24:36.920 ⇒ 00:24:41.500 Amber Lin: For now I see, okay.
97 00:24:41.500 ⇒ 00:24:42.180 Mustafa Raja: Yeah.
98 00:24:42.605 ⇒ 00:24:52.820 Amber Lin: Yeah, let me know if we need my inputs on any of those I know leading it. But I don’t know what’s happening recently.
99 00:24:54.020 ⇒ 00:24:55.210 Casie Aviles: Yes, sure.
100 00:24:56.920 ⇒ 00:24:57.250 Amber Lin: Okay.
101 00:24:57.250 ⇒ 00:24:57.810 Mustafa Raja: Yeah.
102 00:24:58.060 ⇒ 00:24:59.980 Amber Lin: Yeah, you both.
103 00:25:00.940 ⇒ 00:25:01.549 Mustafa Raja: Thank you.
104 00:25:01.550 ⇒ 00:25:02.100 Amber Lin: Thank you.
105 00:25:02.100 ⇒ 00:25:02.420 Mustafa Raja: A good day.
106 00:25:02.420 ⇒ 00:25:03.210 Amber Lin: Okay.
107 00:25:03.820 ⇒ 00:25:04.540 Amber Lin: You too.