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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Production RAG · 2025 · RAG / AI Engineering

Triple-OCR-RAG

Three parallel RAG pipelines for mortgage document extraction: DocTR + DeepSeek, Chandra OCR, and a 5-tier local fallback, with FAISS vector search and a Gradio interface.

Built to maximize extraction reliability across degraded and complex document layouts; 95% accuracy on 200+ page files with page-level citations.

RAGOCRFAISSDeepSeekGradio

View on GitHub Live demo