- 🎓 Computer Science & Engineering student at Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad
- 📊 CGPA: 9.30 / 10
- 🤖 AI & Full-Stack Developer passionate about building intelligent, scalable software systems
- 🚀 Experienced in MERN Stack, FastAPI, Retrieval-Augmented Generation (RAG), NLP, and Information Retrieval
- 🔬 Currently working on NAMASTE ↔ ICD-11, a research-oriented medical terminology mapping system
- 📚 Solved 610+ DSA Problems
- 🤝 Open to Software Engineering, AI Engineering, and Research opportunities.
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AI-powered property intelligence platform that combines Retrieval-Augmented Generation (RAG), LangChain, FastAPI, ChromaDB, and the MERN stack to deliver intelligent property search, analysis, and recommendations.
Core Technologies
React Node.js Express.js MongoDB FastAPI Python LangChain ChromaDB
Research-driven Information Retrieval and NLP system that maps traditional AYUSH and Sanskrit medical terminology to ICD-11 codes using BM25, semantic search, transformer embeddings, and ranking pipelines.
Research Results
- 🎯 97.22% Top-1 Accuracy
- 🎯 99.31% Top-5 Accuracy
- 🔍 BM25 + Semantic Retrieval
- 🧠 NLP & Information Retrieval
- 🥇 Winner – Smart India Hackathon Internal Selection Round.
- 🏆 Adobe India Hackathon – Shortlisted.
- 🏆 CMR Hackathon – Shortlisted.
- 📚 Solved 610+ DSA Problems across LeetCode, Coding Ninjas, and other platforms.
- 🔬 Developed research-grade Information Retrieval systems achieving 97.22% Top-1 Accuracy.
- ⭐ Built end-to-end AI-powered applications using MERN, FastAPI, LangChain, and Vector Databases.
"The best software isn't built by writing more code—it's built by solving meaningful problems."