Harsh Mehta is an AI Engineer in Charlotte, NC with 5+ years across data science and machine learning, including 2+ years shipping production LLM systems. He currently builds RAG and LangGraph agent systems at Kaiser Permanente.

What does Harsh Mehta do at Kaiser Permanente?

He builds citation-backed RAG over 5,000+ pages of compliance documentation, with LangGraph agents and human-in-the-loop review. The work cut a 3-month policy review to one week and reclaimed roughly 300 analyst-hours per cycle.

Does Harsh Mehta have LangChain and LangGraph experience?

Yes. He has shipped LangGraph and LangChain multi-agent systems in production, including agent orchestration at Kaiser Permanente, the multi-agent core of the Ensemble booking platform on Vertex AI, and 7 multi-agent LLM workflows at ATC.

Is Harsh Mehta open to new roles?

Yes. He is open to AI Engineer, Machine Learning Engineer, and Data Scientist roles in Charlotte, NC and remote across the US.

Where did Harsh Mehta go to school?

He holds an M.S. in Information (Data, Machine Learning, Cloud) from the University of Wisconsin-Madison with a 3.95 GPA, and a Bachelor of Management Studies from the University of Mumbai with a 3.5 GPA.

What certifications does Harsh Mehta hold?

He holds the Databricks Data Engineer Associate, Snowflake SnowPro Core, Azure DP-100, Power BI PL-300, and AZ-900 certifications (all 2025), plus Salesforce Tableau.

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Video RAG · 2026 · RAG / AI Engineering

VidRag

Point it at a lecture or a playlist and it reads every video, slides and code and diagrams included, then answers from anywhere in the course and shows you the exact second it read.

Gemini captures both speech and what is on screen, chunked into passages that keep their timestamp and video, embedded once and cached in the browser. Every claim carries the second it came from, and clicking a citation seeks the player there. Keys go straight from your browser to the vendor: no server, nothing stored.

RAGGeminiEmbeddingsNext.jsCitations

View on GitHub Live demo