Kevin Joseph I build retrieval and agentic AI systems for finance.
Currently: MBA (Business Analytics) @ CHRIST University, Bengaluru · PG Program in Data Science & AI @ MIT xPRO
What I've built NL2SQL at Federal Bank Built a production natural-language-to-SQL pipeline over a 900+ table Oracle schema during my AI/ML internship. Reconstructed a 6,284-entry decode-mapping knowledge base from incomplete documentation, live data distributions, and analyst interviews. Hybrid retrieval (BM25 + vector search + cross-encoder reranking + HyDE-lite) improved query accuracy from 25.9% to 83.0% on a 1,000-query test set. (Code confidential; 40+ page faculty-certified technical report available on request.)
FinSight India Agentic RAG research assistant for Indian markets: hybrid retrieval (ChromaDB + BM25 + RRF) over annual reports and RBI circulars, with tool-calling agents, streaming, and cited answers.
Aurora Prototype multi-agent platform (CrewAI + RAG) for IT-governance and regulatory risk review over policy circulars. Architect-WASM-IDE Browser-native data science IDE: Python, R & SQL running entirely in-browser via WebAssembly, with zero-copy Apache Arrow data transfer. Live demo.
Currently working on Benchmarking my NL2SQL retrieval architecture on public datasets (Spider / BIRD) — reproducible evaluation harness + error analysis Contributing to open-source financial AI (AI4Finance / FinGPT ecosystem) Elsewhere Global Rank 10 / 3.3M+ on Unstop (Top 100 Unstoppable B-School Leader 2026); 21+ podium finishes incl. IIM Calcutta, XLRI; 1st Runner-Up, SPJIMR × HDFC Bank Vigil Fraudathon Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate · Bloomberg Market Concepts Open to research collaborations (remote): kevin.joseph@mba.christuniversity.in · LinkedIn: https://www.linkedin.com/in/kevin-joseph-in/