I build AI systems
that ship different
GenAI, agentic systems & ML, built end-to-end and shipped, not just notebooked.
View ProjectsAn end-to-end automated B2B sales platform that manages 100+ leads through structured workflows. Three core modules handle data validation, email verification, and AI content generation, with the Gemini, Gmail, and Verifalia APIs wired in to automate outreach and cut manual work.
A full-stack vocabulary learning platform with 500+ words, meanings, and pronunciations, plus a LangChain-powered AI chatbot for intelligent word discovery.
An Airflow pipeline that detects schema drift and repairs itself. A Try-Heal-Retry loop lets LLaMA 3.2 diagnose failures, apply fixes, and rerun, with 100+ interventions logged, all on a Bronze/Silver/Gold medallion architecture with dbt incremental models and a Streamlit dashboard.
A Chrome extension for real-time chat over any YouTube video, built on a RAG pipeline with LangChain and ChromaDB. Semantic search runs over transcripts with adaptive context scaling and persistent chat history.
I'm a computer science student at Thapar who builds AI that does real work instead of living in notebooks: agentic systems, RAG pipelines, and LLM apps wired into production workflows.
My favorite projects are the ones where the AI acts, not just answers: a data pipeline that heals its own failures, a sales platform that runs its own outreach.
I've completed Stanford and DeepLearning.AI machine learning coursework, and I'm looking for ML and GenAI engineering roles where shipping matters. If you're building something ambitious with LLMs, let's talk.
B.E. Computer Science, Thapar Institute of Engineering and Technology, 2023-2027, CGPA 8.66
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