I’m a Computer Science undergraduate at VIT Vellore, passionate about Software Development, Data Science, Machine Learning, and Generative AI.
My journey revolves around building intelligent systems that bridge data with meaningful insights.
From developing AI-powered interviewers to financial assistants and document simplifiers, I’m driven by curiosity, precision, and creativity.
💡 I believe in data-driven innovation that makes real-world impact.
📚 Continuously learning through projects, research, and mentorships.
⚙️ Currently exploring RAG pipelines, LLMs, and multi-agent systems.
Built an AI system using LangChain, RAG, and Google Gemini to automate technical & behavioral interviews.
🚀 Reduced HR screening time by 60% and deployed on Google Cloud Run with CloudSQL backend.
Developed a Next.js + Python finance tracker with OCR receipt scanning and LangChain-powered insights.
📊 Empowered 500+ users to automate budgeting with 85% higher engagement.
Engineered an AI-driven legal document analyzer using FastAPI, RAG, and Gemini API, simplifying clauses & risks.
🔒 Reduced legal review time by 65% for real users.
🏅 1st Place — AI-ML Marvels Hackathon, graVITas’23
🥈 Runner-Up — DevJams Hackathon by GDSC
🥉 Top 10 Finalist — Code-a-thon by Caterpillar Inc.
🎤 AI/ML Mentor & Speaker – Conducted hands-on workshops and guided peers in building ML models.
🌐 Open Source Contributor – Enhanced pgmpy with BIC-based structure learning for probabilistic models.
✨ “Code. Learn. Innovate. Repeat.” ✨