About
AI Engineer with hands-on experience building production LLM pipelines, agentic workflows, and real-time voice AI systems using Groq, LangGraph, Deepgram, and RAG. Skilled in designing multi-turn LLM agents, semantic retrieval systems, and low-latency AI backends with FastAPI and Supabase for scalable, real-world applications.
Experience2
AI/ML Intern
Mar 2026 — May 2026Advize Technology Private Limited
Integrated gemini 3.1-flash and Whisper STT via Gemini API for real-time voice-based content generation. Developed a multi-agent pipeline using LangGraph and LangChain, and implemented semantic search functionality using vector databases. Optimized token usage across LLM calls, reducing overall API consumption and costs by 35%.
Full Stack Developer Intern
Oct 2025 — Jan 2026Lakshmi Information Technology Private Limited
Built full-stack React Native features and optimized backend REST API payloads, reducing server latency by 30%. Implemented UI components for React web and mobile apps, and debugged runtime memory leaks, reducing production Android app crash rates by 15%.
Projects2
Quant Agent – AI-Powered Equity Research Agent
Built an agentic AI pipeline combining live financial data and 10-K RAG, reducing research time by 70%. Architected a LangGraph agent workflow with conditional routing logic to automate multi-step risk analysis.
- LangGraph
- Groq
- Qdrant
- Polygon.io API
- RAG
- FastAPI
HireAI – AI-Powered Hiring & Interview Automation Platform
Built an AI hiring platform automating candidate screening and interviews via LLM-driven evaluation pipelines. Designed multi-turn interview agents and streamed audio over WebSockets for low-latency live transcription during interviews.
- Llama-3
- Groq API
- Deepgram Nova-2 STT
- NLP
- Python
- FastAPI
- Supabase
- WebSockets
Education1
Bachelor of Technology
2022Guru Gobind Singh Indraprastha University
Computer Science