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India
1 year of experience
Professional Summary AI Engineer and Computer Science student specializing in AI and Data Science with experience building RAG systems, autonomous AI agents, and scalable backend infrastructure. Passionate about creating practical AI solutions that improve automation, developer workflows, and user experiences. Education Bennett University B.Tech in Computer Science (AI Specialization) 2022 – 2026 | CGPA: 8.8 / 10 Experience AI Engineer Intern — Scopely Built AI-powered automation pipelines reducing manual workflows from 7 days to 1 hour. Developed scalable systems processing 4K+ entries with high reliability. Data Science Intern — Transvolt Mobility Built EV health analysis systems and optimized APIs handling millions of records. Improved performance significantly using optimized queries and multithreading. Projects CLAIMIQ — RAG Insurance Query Engine Built a full-stack RAG system for querying insurance documents with clause-level retrieval and real-time monitoring. Voice Coding Agent Developed an autonomous AI coding assistant using LangChain, LangGraph, Qdrant, and Neo4j with persistent memory and workflow orchestration. PixelLab Built a real-time image processing platform using ML and computer vision techniques. Skills RAG Systems & LLM Applications Multi-Agent Systems FastAPI & Backend Development Vector Databases (Qdrant, FAISS) AWS, Docker & Cloud Infrastructure LangChain & LangGraph Achievements Rank 52 — CodeChef Dev Challenge Top 7% — Smart India Hackathon IEEE IC3I 2025 Accepted Research Paper