
Engineering robust, production-ready AI solutions with Large Language Models, RAG pipelines, and intelligent multi-agent workflows.
Interact directly with my personalized AI model trained on my research, tech stack, and background.
Combining academic depth in machine learning research with practical, low-latency AI software engineering.
End-to-end architecture design for production Generative AI: hybrid retrieval (Dense + BM25), semantic re-ranking, vector indexing, multi-agent orchestration, and prompt guardrails.
Students Mentored & Taught
Assistant Professor conducting lectures in AI, Machine Learning, Python, and data structures.
Continuous Experience
Dedicated track record spanning university teaching, AI research projects, and software engineering.
Production Platforms & AI Tools
Creator of Gatex AI (GATE CS Prep) and Galaxy of AI (AI Learning ecosystem).
AI Publications & Case Studies
Published research exploring LLM fine-tuning, computer vision, and machine learning implementations.