Building scalable, production-ready systems across Software, cloud infrastructure, and applied AI.
- 🎓 Pre-final year B.E. in Computer Science Engineering at SJB Institute of Technology (SJBIT), Bengaluru — CGPA 9.09/10.0
- ☁️ Completed an AWS Cloud internship at F13 Technologies
- 🧠 Currently building toward an AI/ML Engineering & MLOps career path — RAG, vector databases, LoRA/QLoRA fine-tuning, and production LLM systems
- 🔧 Equally comfortable across the stack: Software Systems (MERN Stack), cloud infra, and AI-driven product engineering
- 🖥️ MERN Stack Development — building full-stack web applications with MongoDB, Express, React, and Node.js
- 🏗️ Builder-first mindset — I'd rather ship something production-ready than leave it as a theory exercise
🛡️ LexGuard-AI
AI-powered contract intelligence platform using a 3-agent adversarial pipeline (Gemini 2.5 Flash) to detect predatory clauses, quantify risks, and simulate long-term legal outcomes.
A production-grade, security-hardened RAG agent for enterprise support — Supabase/PGVector vector retrieval, automated CI/CD to Modal, and a real-time interface.
High-performance behavioral analytics tool using C++ Win32 kernel hooks to capture 120Hz telemetry with <1% CPU overhead.
📅 Meetly
Full-stack meeting scheduler built with React, TypeScript, and Supabase.
A multi-phase graph routing engine modeling Bangalore's road geography for safer, smarter navigation.
"The best way to predict the future is to invent it."