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Meet Jhaveri
Mid-level Data Scientist specializing in AI/ML, LLMs, and healthcare analytics
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About
Built and shipped enterprise AI products including a conversational SQL analytics platform and a production RAG system at Johnson & Johnson. Combines full-stack engineering with LLM systems expertise, and has delivered measurable impact at scale, including 48% lower retrieval latency and 37% better response relevance across 12M+ records.
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Key Strengths
- End-to-end full-stack ownership of AI products
- Production RAG architecture design
- Strong TypeScript/React and FastAPI implementation
- Secure AI-to-SQL system design with validation and access controls
- LLM orchestration with LangChain and enterprise retrieval pipelines
- Hallucination reduction through chunking, embeddings, and retrieval tuning
- Structured AI outputs with citations and confidence scoring
- Data-driven evaluation and regression monitoring for LLM systems
- Human-in-the-loop design for clinical/compliance-sensitive workflows
- Thrives in ambiguous early-stage environments using prototypes and metrics
- Improved document retrieval latency by 48%
- Improved response relevance by 37% across 12M+ records
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