AI Engineer · LLM Systems · Applied ML
B.Tech undergraduate building production-grade AI systems — from LLM calibration frameworks to governance platforms and RAG-based automation pipelines.
Production-grade statistical framework for diagnosing and correcting overconfidence in Mistral-7B and Phi-2 via logit-level extraction and post-hoc temperature scaling.
End-to-end AI automation platform with gradient-boosted ML scoring engine, FAISS-powered RAG pipeline, and LLM-based proposal generation via REST API.
Scalable AI governance platform evaluating vendors across 6 risk dimensions using weighted scoring, Monte Carlo simulation, and role-based audit workflows.
Open to AI internships, research collaborations, and interesting problems.