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Created June 19, 2025 18:46
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.json
{
"messages": [
{
"content": "Hello! I see you need help with interview analysis. Could you please provide more details about the interview or the specific task you want to accomplish? For example, are you looking to analyze interview transcripts, summarize key points, assess candidate responses, or something else? Let me know how I can assist you best!",
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"transcript_text": "That incorporated AI or LLMs and what was your role there? Yeah, there are two projects I can think of. One is the summarization of news article in Bloomberg. So Bloomberg, the role that I played was senior software engineer for the team called Media Partnerships. Basically they are responsible for sending the B2B content and then anything which is actually cool because they have a trust in our team that When I said the product team, the product org had the trust and engineering team that I worked for, so they gave this responsibility of summarizing the news article and ChatGPT have this API where you can, or the OpenAI API that uses the 4.0 model, basically takes a big news article and then give you a summary of it in three different formats since you are asking for three different formats. Then the idea is for an end user, to read this news content that is in bloomberg.com in the most crispy and short way. This was a JS typescript, React, JavaScript, and then a little bit of my Postgres SQL as well. That is one project. Happy to give you more detail if you would like me to. Another project is more for my side project, but also for Bloomberg. Basically, a pet project in Bloomberg for the Bloomberg feature. basically you can take a text content and then feed it through a system where the system is already trained with a voice like an audio of a celebrity or any random person. So let's say you wanted to read a news content in someone else's voice that plays in your ears. That's the idea. So there are so many people who wanted to read the news and Matt Levine, who is a famous writer in Bloomberg, in his voice. So the idea is to take his sample of voice for like 15 to 30 seconds, feed it to the AI system. One of the APIs I can think of is 11 labs. So you take that system, the audio, and then put it in the system, and then it reads the content back. So the work involved is talking to the API and then feeding that content to the API and then get you back an audio file, post it on a cloud, and then link it to the front end to play that audio file. So those are the two projects I can tell you that I worked on, and there were some more projects that I didn't implement or write code, but I'm happy to give you more detail as well that are related to AI. Yeah. Awesome. Thanks so much for sharing. Do you consider that those two projects were successful or unsuccessful and why? I would say the first one is successful because people really loved it. They wanted to go with that model, wanted to use the feature. It's in the crisp of okay, so we wanted to find who is the target audience, what are all the things we want to use. So everything is fine with that. The second one, it didn't go well yet because they wanted to still get compliance approval and everything. So not because the tech behind it, the product manager really liked that idea, but only the compliance is like we wanted to get copyrights of these people. If we want to work with some celebrities, we wanted to get their voice, license and everything. So it's not going to be an easy process. So from the tech perspective, it went well. From the business perspective, there were some blockers. So I would call maybe not as successful as the first one. Yeah. Got it. Okay. And what was the hardest part of those projects? I think getting people's agreement on certain things, for example, When we were working on the LLM for the first project, which is a summarization, people had different comments. For example, Bloomberg have certain set of ways of using words, vocabulary that you cannot use something outside of it because that's going to spoil the reputation of Bloomberg. So when you are asking an AI to do certain things that is not trained based on how the editors are trained, for writing those news articles, it's a tricky problem to solve because ultimately you are relying on AI system that was built completely without humans writing words in it. It was all like it got trained. Whereas you're comparing that AI with someone who wrote a lot of things from their mind using their hands with the vocabulary of choice. That was the hardest part. There were some people who said, oh, it is fine as long as it doesn't give you any racist comment, anything sexual comment and stuff. So that is a challenge, I'd say. It was pretty hard to deal with. Yeah. Perfect. And what kind of AI tools have you worked with? Sorry, AI tools? Yep. I would say LangChain is one of the tools where you can connect different things using the code itself with JavaScript. and then LangFlow that you can do with the UI, like click drag and drop so you can connect to different modules. There is one other project that we didn't work too much about it that I didn't mention before, which is for chatbot for people to get the summary. Basically, whatever I told you about the summarization, how about you enter all these in a chatbot and the chatbot gives you back a response. So I'd say that for that project, we were trying to do a lot of RAG, retrieval augmented generation concepts. So I use LangFlow LangChain for it. Outside of it, of course, Levenshtein Labs API for the voice text tool. And then there is one more for text to image that I don't recall the API name. It was few months ago, but that's one other API. But I don't think those are tool only the LangChain LangFlow or the tool itself that I can point out. Yeah. Perfect. And I saw that you have some experience of working as a full stack engineer. Are you in the future for your career, are you planning to stay as a full stack or focus more on the backend? I would say focus more on the backend. But I also want to keep myself up to date with latest technologies and versatile because it's better to know a lot of things. and also good things. So it's better to understand where the system is evolving. So full stack but leaning on backend is my future thinking. Yeah. Got it. Perfect. And in terms of company culture, in what kind of environment are you going to be the most successful? I'd say rapidly growing. I think Launch Darkly is a great example. where I can see myself getting things done in a faster way instead of getting hit by a bureaucracy. So I was in Haven Technologies for six years. That company grew from like 45 to 300. The time I joined as 45, it went to 300 to 350 people. I think I got a lot of stuff done. People were ready to give approvals, but as long as it makes sense to them and we have good code coverage and everything. So I see myself in an environment which I could say mid-sized startup or a little bit smaller than, sorry, a little bit bigger than a small startup. Yeah, so that's what I'd say. Perfect. And what is your proudest moment as an engineer? I think few projects I did. One of them recently was Memo, is a client who wanted some GA analytics, Google Analytics data from bloomberg.com's analytics. Basically, you go to a website and then you read the news. But all these things get tracked by the Google Analytics of Bloomberg saying X number of people read this news between X and Y time. So there is a client who wanted this data to show it in their website so they know what content the editors need to write. to get more traffic. So these people were going to pay 500k US dollar for this work. And I got this whole project done in four days just myself. Basically four days of my time yielded 500k and people were so happy and proud about my achievement. So my team had a lot of reputation risk if we don't get it done. So I was able to uphold it. So I'd say that is one of the proudest moments. There were many One other example I can give you is back in 2018, I worked on replacing DocuSign for people to not use DocuSign in Haven Life, so we get a better traffic and less churn off on the people who are dropping off because they were leaving the website to go to DocuSign. So we built an in-house DocuSign replacement tool that helps save 10X money. Basically, instead of paying $100, we were paying $10 to DocuSign because we completely got rid of the usage. from this website. So those are the two top moments for me as an engineer. Yeah. Perfect. And what is your biggest engineering stake? That's a very good question. Let me think. I think one of the projects I did similar to this, there is another one where I had to deal with some rounding issue. There were like, so there are like $100 money being split in three segments, for example, three different ones. We didn't do the initial design where we had to like split this into three pieces because let's say there are like three advices involved in a given funding for $100, it splits into 33.33. three times. But there is a little bit reminder that part of logic, I thought I handled it, but I didn't. That resulted in a lot of computation error because it went to like, let's say, if you're talking about a million dollar, that 0.01 is actually quite a bit in a million dollar. So we figured this out after like six days where people were not getting paid equally or somewhat some discrepancy there. So that logic I left not doing it right at the time of launching. I'd say that resulted in a little bit of money discrepancy that we had to go through a lot of audits after. So that probably the biggest mistake I've done. And this happened in 2021. Understood. Makes sense. And regarding your current moment, you mentioned you are currently in New York, right? That is correct. And then you have the H1 B visa? Yeah. Correct. Okay. And your salary expectation, the range is between 120 and 170. Yeah. So I looked in, so there are like some roles I'm applying that might be paying more, but let's say the interview goes well and if LaunchDarkly wants to offer me, and if I have a number more than 170 with other offers, are they open to consider matching that? Yeah, definitely. They have budget for it. Okay, cool. Yeah, I think that's what I'd say as an answer to what you asked me now. Yeah. Good. And are you currently interviewing somewhere else? How far in the process? Right now, I'd say it's on the second rounds, basically. Finish the first rounds. One, actually, I got an offer, verbal offer, but it's like, It's been like two weeks since they offered me. The holidays is delaying it, but once I get the second rounds done, then I'll have an idea more about which one to pick, but that's the status I have right now. Great, yeah. Okay, perfect. And yeah, I think it was pretty much it for this recorded session. Let me just stop it here.",
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"weight": 0.1
},
{
"id": "technical-decision",
"category": "technical",
"label": "Technical Decision-Making",
"weight": 0.1
},
{
"id": "performance-optimization",
"category": "technical",
"label": "Performance Optimization",
"weight": 0.05
},
{
"id": "staying-current",
"category": "behavioral",
"label": "Staying Current with Technology Trends",
"weight": 0.1
}
],
"missing_critical_criteria": [
{
"id": "security",
"category": "missing_critical",
"label": "Security considerations in system design and implementation"
},
{
"id": "testing",
"category": "missing_critical",
"label": "Testing strategies and quality assurance practices"
},
{
"id": "performance",
"category": "missing_critical",
"label": "Performance optimization and scalability considerations"
},
{
"id": "documentation",
"category": "missing_critical",
"label": "Documentation practices and knowledge sharing"
},
{
"id": "scaling",
"category": "missing_critical",
"label": "Scaling considerations and architecture for growth"
}
],
"transcript_derived_criteria": [
{
"id": "depth_of_api_use",
"category": "technical",
"label": "Depth of API and technology use beyond mention",
"depth_requirements": "Scores 1: Mentioned APIs or tools without context or impact. Scores 2: Described specific problems solved with APIs, with some outcomes. Scores 3: Demonstrated advanced use, mentoring others, or innovating with APIs, with quantifiable results. Scores 4: Industry-leading innovation or significant impact using APIs.",
"invalid_evidence": [
"Mentioning API or tool name without context or problem solved"
],
"red_flags": [
"Superficial mention of tools without depth or impact"
]
}
]
},
"evaluation_sheet": [
{
"criterion_id": "communication",
"prompt": "Evaluate the candidate's communication clarity, considering their ability to articulate technical concepts and project details with depth and precision."
},
{
"criterion_id": "problem-solving",
"prompt": "Assess the candidate's problem-solving approach, focusing on their methodology, depth of analysis, and impact of solutions."
},
{
"criterion_id": "ownership",
"prompt": "Determine the candidate's ownership and accountability demonstrated through their project management and responsibility for outcomes."
},
{
"criterion_id": "learning-agility",
"prompt": "Evaluate the candidate's learning and adaptability, especially how they responded to challenges and new information."
},
{
"criterion_id": "collaboration",
"prompt": "Assess the candidate's team collaboration skills, including their ability to work with others and influence team dynamics."
},
{
"criterion_id": "system-design",
"prompt": "Evaluate the candidate's system design and architecture skills, emphasizing depth, scalability, and industry best practices."
},
{
"criterion_id": "coding-skills",
"prompt": "Assess the candidate's advanced programming and coding skills, focusing on code quality, efficiency, and problem-solving."
},
{
"criterion_id": "leadership-mentoring",
"prompt": "Evaluate the candidate's leadership and mentoring abilities, including guiding others and sharing knowledge."
},
{
"criterion_id": "problem-solving-high",
"prompt": "Assess the candidate's high-level problem-solving and critical thinking skills, especially in complex scenarios."
},
{
"criterion_id": "code-quality",
"prompt": "Evaluate the candidate's adherence to code quality and best practices, including testing, documentation, and maintainability."
},
{
"criterion_id": "project-management",
"prompt": "Assess the candidate's project management and delivery capabilities, including planning, execution, and delivery."
},
{
"criterion_id": "communication-collaboration",
"prompt": "Evaluate the candidate's communication and collaboration skills within a team setting."
},
{
"criterion_id": "technical-decision",
"prompt": "Assess the candidate's technical decision-making process, including evaluation of options and impact."
},
{
"criterion_id": "performance-optimization",
"prompt": "Evaluate the candidate's ability to optimize system performance and scalability."
},
{
"criterion_id": "staying-current",
"prompt": "Assess how well the candidate stays current with technology trends and incorporates new knowledge."
}
]
}
}
],
"invalid_tool_calls": [],
"usage_metadata": null
}
],
"responses": [],
"response_metadata": [],
"attempts": 3
},
"rubric_reviewed": true
}
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