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Jash Shah
Mid-level Data Scientist specializing in LLMs, MLOps, and predictive analytics in healthcare and finance
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About
Built and deployed a production LLM/RAG clinical decision support system that enables real-time semantic search over unstructured EHR notes and delivers patient risk insights. Strong in healthcare-grade MLOps and compliance (HIPAA, PHI handling, encryption, RBAC, audit logs) and scaled embedding/retrieval pipelines using Spark/Databricks and Airflow. Partnered with clinicians via Power BI dashboards and explainability, contributing to an 18% reduction in patient readmissions.
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Key Strengths
- Built and deployed production RAG-based clinical decision support system for EHR note search and risk insights
- Reduced LLM hallucinations using RAG + cross-encoder re-ranking and confidence thresholds
- Scaled retrieval over large EHR datasets using Spark on Databricks (efficient chunking/indexing for low latency)
- Implemented HIPAA controls (PHI anonymization/tokenization, encryption, RBAC, audit logs/monitoring)
- Orchestrated end-to-end ML/LLM pipelines with Apache Airflow (dependencies, retries, monitoring) improving reliability and data freshness
- Translated model uncertainty and outputs into Power BI dashboards for clinical stakeholders; improved adoption and reduced patient readmissions by 18%
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