{"canonicalUrl":"https://humetric.net/p/profile-684768ae169845d3a823c3479e3877c7","profileVersion":"0f805f68-83fd-4df5-a0af-72f12eb23b4d","lastUpdated":"2026-09-27T14:25:08.431089+00:00","profile":{"display_name":"Utkarsh Gupta","last_updated":"2026-09-27","slug":"profile-9f8e035bdfb14e88","headline":"AI Full-Stack Engineer","summary":"An AI full-stack engineer with experience building multi-agent RAG systems, real-time AI pipelines, distributed job orchestration, and evaluation frameworks. Skilled across Python, JavaScript, TypeScript, backend systems, vector search, LLM integrations, and full-stack SaaS development.","years_experience":1,"skills":["Agentic AI","AI Evaluation","Bootstrap","BullMQ","C","C++","CSS","ETL Pipelines","Express.js","FastAPI","Gemini","HTML","Java","JavaScript","LangChain","LangGraph","Microservices","MongoDB","MySQL","Next.js","Node.js","OpenAI","PostgreSQL","Prompt Engineering","Python","Qdrant","RAG","React.js","Redis","REST APIs","SQL","Tailwind CSS","TypeScript"],"experiences":[{"id":"03ca4d37-4b71-4cf1-889c-a823408c8c2c","person_id":"c3d797b0-a6af-4fb7-9b65-0a13873f619b","title":"AI Full-Stack Engineer","company":"Multibagg AI","start_date":"July 2024","end_date":"Present","description":"Ask Iris - AI Financial Research Assistant: Built a multi-agent RAG assistant over 500K+ annual reports, concalls, and regulatory filings. Implemented hybrid search in Qdrant with metadata filtering, re-ranking, and source-cited answers. Owned the Python ingestion pipeline covering PDF extraction, preprocessing, chunking, embeddings, and indexing. Served 2K+ investor queries per day at a 20-second average response time across 500K+ documents. Real-Time AI Pipeline - Union Budget 2026: Built a real-time Python pipeline streaming live speech to gpt-4o-transcribe for transcription. Extracted events from the live transcript and generated investor-focused summaries within seconds. Supported 3K+ concurrent users and generated 5K+ SEO clicks from 500K+ impressions in a day. Distributed Cron-Based System: Built a distributed cron orchestration system on BullMQ and Redis with retries and monitoring. Automated hundreds of recurring jobs across financial data for 6K+ companies and 8K+ mutual funds. Scheduled data collection, document processing, and AI workflows, improving pipeline reliability and scalability. RAG Evaluation Framework: Built an automated evaluation framework measuring retrieval quality, relevance, faithfulness, and citation accuracy. Combined LLM as a Judge, rubric-based, and deterministic evaluations to assess tool selection and agent behavior.","position":0}],"educations":[{"id":"16772e8c-71eb-443c-99c1-e0d8a60a2800","person_id":"c3d797b0-a6af-4fb7-9b65-0a13873f619b","school":"Vellore Institute of Technology","degree":"Master of Computer Applications","field":null,"start_year":2023,"end_year":2025},{"id":"ef19fd94-6c4d-427e-9728-81b6c146eeff","person_id":"c3d797b0-a6af-4fb7-9b65-0a13873f619b","school":"Dr. RML Avadh University","degree":"B.Sc.","field":"Computer Science","start_year":2019,"end_year":2022}],"projects":[{"id":"be[contact removed]a4-4a8a-afa3-4626bd11f65f","person_id":"c3d797b0-a6af-4fb7-9b65-0a13873f619b","name":"Chatbase - Website to Chatbot SaaS","description":"Knowledge Base Creation: Automated website crawling and knowledge-base creation, converting pages into embeddings for vector search. Custom Chatbot Platform: Built a SaaS platform that turns any website into a custom RAG chatbot answering only from the site's content.","url":"https://general-chatbot-lemon.vercel.app/","technologies":["RAG","Vector Search","Embeddings"],"position":0},{"id":"f06d21f7-3321-4e18-a6a9-a6941e584f11","person_id":"c3d797b0-a6af-4fb7-9b65-0a13873f619b","name":"UToob AI - YouTube Content Intelligence SaaS","description":"Content Generation: Built an AI SaaS platform that transforms YouTube videos into summaries, notes, quizzes, and social content. Multi-Model Integration: Integrated OpenAI and Google Gemini models for generation and interactive chat over video transcripts.","url":"https://utoob-ai.vercel.app/","technologies":["OpenAI","Google Gemini","AI","YouTube"],"position":1}]},"chunksVersion":"profile-chunks-v4","approvedDiscoveryQueries":[],"evidence":[{"id":"identity:0","type":"identity","ordinal":0,"locale":"en","text":"Utkarsh Gupta. AI Full-Stack Engineer. 1 years experience","fieldKeys":["display_name","headline","years_experience"]},{"id":"summary:0","type":"summary","ordinal":0,"locale":"en","text":"Utkarsh Gupta. AI Full-Stack Engineer. Summary / 簡介: An AI full-stack engineer with experience building multi-agent RAG systems, real-time AI pipelines, distributed job orchestration, and evaluation frameworks. Skilled across Python, JavaScript, TypeScript, backend systems, vector search, LLM integrations, and full-stack SaaS development.","fieldKeys":["summary"]},{"id":"skills:0","type":"skills","ordinal":0,"locale":"en","text":"Utkarsh Gupta. AI Full-Stack Engineer. Skills / 技能: Agentic AI, AI Evaluation, Bootstrap, BullMQ, C, C++, CSS, ETL Pipelines, Express.js, FastAPI, Gemini, HTML, Java, JavaScript, LangChain, LangGraph, Microservices, MongoDB, MySQL, Next.js, Node.js, OpenAI, PostgreSQL, Prompt Engineering, Python, Qdrant, RAG, React.js, Redis, REST APIs, SQL, Tailwind CSS, TypeScript","fieldKeys":["skills"]},{"id":"discovery:0","type":"discovery","ordinal":0,"locale":"en","text":"Utkarsh Gupta. AI Full-Stack Engineer. Role / 職稱: AI Full-Stack Engineer. Experience / 年資: 1 years experience. Expertise / 專長: Agentic AI, AI Evaluation, Bootstrap, BullMQ, C, C++, CSS, ETL Pipelines, Express.js, FastAPI, Gemini, HTML","fieldKeys":["display_name","headline","years_experience","skills"]},{"id":"experience:0","type":"experience","ordinal":0,"locale":"en","text":"Utkarsh Gupta. AI Full-Stack Engineer. Experience / 經歷: AI Full-Stack Engineer at Multibagg AI. July 2024 to Present. Ask Iris - AI Financial Research Assistant: Built a multi-agent RAG assistant over 500K+ annual reports, concalls, and regulatory filings. Implemented hybrid search in Qdrant with metadata filtering, re-ranking, and source-cited answers. Owned the Python ingestion pipeline covering PDF extraction, preprocessing, chunking, embeddings, and indexing. Served 2K+ investor queries per day at a 20-second average response time across 500K+ documents. Real-Time AI Pipeline - Union Budget 2026: Built a real-time Python pipeline streaming live speech to gpt-4o-transcribe for transcription. Extracted events from the live transcript and generated investor-focused summaries within seconds. Supported 3K+ concurrent users and generated 5K+ SEO clicks from 500K+ impressions in a day. Distributed Cron-Based System: Built a distributed cron orchestration system on BullMQ and Redis with retries and monitoring. Automated hundreds of recurring jobs across financial data for 6K+ companies and 8K+ mutual funds. Scheduled data collection, document processing, and AI workflows, improving pipeline reliability and scalability. RAG Evaluation Framework: Built an automated evaluation framework measuring retrieval quality, relevance, faithfulness, and citation accuracy. Combined LLM as a Judge, rubric-based, and deterministic evaluations to assess tool selection and agent behavior.","fieldKeys":["experiences"]},{"id":"education:0","type":"education","ordinal":0,"locale":"en","text":"Utkarsh Gupta. AI Full-Stack Engineer. Education / 學歷: Master of Computer Applications. Vellore Institute of Technology","fieldKeys":["educations"]},{"id":"education:1","type":"education","ordinal":1,"locale":"en","text":"Utkarsh Gupta. AI Full-Stack Engineer. Education / 學歷: B.Sc.. Computer Science. Dr. RML Avadh University","fieldKeys":["educations"]},{"id":"project:0","type":"project","ordinal":0,"locale":"en","text":"Utkarsh Gupta. AI Full-Stack Engineer. Project / 專案: Chatbase - Website to Chatbot SaaS. Built with / 使用技術: RAG, Vector Search, Embeddings. Knowledge Base Creation: Automated website crawling and knowledge-base creation, converting pages into embeddings for vector search. Custom Chatbot Platform: Built a SaaS platform that turns any website into a custom RAG chatbot answering only from the site's content.","fieldKeys":["projects"]},{"id":"project:1","type":"project","ordinal":1,"locale":"en","text":"Utkarsh Gupta. AI Full-Stack Engineer. Project / 專案: UToob AI - YouTube Content Intelligence SaaS. Built with / 使用技術: OpenAI, Google Gemini, AI, YouTube. Content Generation: Built an AI SaaS platform that transforms YouTube videos into summaries, notes, quizzes, and social content. Multi-Model Integration: Integrated OpenAI and Google Gemini models for generation and interactive chat over video transcripts.","fieldKeys":["projects"]}]}