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Yash Pise
Mid-level Data Scientist specializing in Generative AI, LLMOps, and clinical data pipelines
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About
LLM/RAG engineer who has built and deployed corporate-scale systems at Novartis and Johnson & Johnson, including a healthcare AI agent that generates day-to-day treatment schedules. Recently handled a high-stakes safety incident (LLM suggesting overdose) by tightening model instructions and validating with ~200 test prompts, and has strong end-to-end data/embedding/vector DB pipeline experience (PySpark, FAISS, Pinecone) plus SME-in-the-loop evaluation (RLHF).
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Key Strengths
- Built and deployed multiple corporate LLM/RAG systems (Novartis, Johnson & Johnson)
- Healthcare safety mitigation: addressed harmful dosing output via tighter instructions and extensive prompt testing (~200 prompts)
- End-to-end pipeline ownership from unstructured ingestion through chunking, embedding, and vector DB storage
- Practical evaluation approach using confidence thresholds plus SME/RLHF feedback loops
- Experienced communicating complex AI concepts to non-technical stakeholders via analogies and regular updates
- Leadership/coordination across teams with bi-weekly stakeholder and lab-expert collaboration
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