ML Projects Division Lead
Drive AI/ML project initiatives and run knowledge-sharing sessions for the club.
I build retrieval and agentic ML systems — RAG pipelines, NL-to-SQL agents, and the occasional rover. Currently ML intern at BeyondBot and president of CoDeC @ MIT-WPU.
Building a legal-compliance RAG system at BeyondBot over a 1,210-page corpus of Indian industrial, manufacturing and environmental law. Benchmarked five retrieval modes on a 315-query RAGAS harness — hybrid retrieval reached 0.77 against 0.51 for the naive baseline.
recognitions · sih r2 ′24 · circuit heist runner-up ′24 · dataquest finalist · hackmitwpu finalist
Designed legal-compliance RAG over a 1,210pp Indian-law corpus. RAGAS harness across 5 retrieval modes on 315 queries — hybrid 0.77 vs 0.51 naive. Built a custom OpenCV visual chunker.
Address-confidence scoring service on the Google Maps API with fuzzy matching and reverse-geocoded cosine similarity. Scored ~13,500 records and sharpened address confidence for logistics clients including Red Bull.
AWS Lambda agent (Gemini) doing streaming NL-to-SQL over a 9-table Postgres schema, with per-session memory. WhatsApp ingest service (Node + S3, Supabase-backed) for snag reports via text, voice and image.
Read case study →UAV photogrammetry pipeline (RGB → orthomosaic → ExG/VARI vegetation indices → K-means zoning) fused with an ESP32 ground module (Modbus soil sensor, GPS waypoint guidance, on-device ML for NPK estimation). Firebase + Vercel dashboard with a multilingual AI assistant.
Read case study →Demo ingesting SQL / JSON / TXT into query-driven Neo4j mini-graphs with a Gemini NL-query interface.
Read case study →Ran Trifecta Challenge 2026 — a three-day flagship symposium drawing 350+ participants (87 teams) from MIT-WPU and external engineering colleges across Full-Stack, ML, and Competitive Programming tracks. Led a core team of 15–20; secured GeeksforGeeks, HackerRank and AlgoZenith through direct outreach.
Drive AI/ML project initiatives and run knowledge-sharing sessions for the club.
CGPA 8.62 / 10.00
Open to internships, research collaborations, and conversations about retrieval systems. Email is fastest.