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Satya Pithani
Mid-level AI/ML Engineer specializing in healthcare and financial analytics
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ML engineer with production experience across healthcare and fraud domains, including end-to-end ownership of a telecare patient deterioration system at Oracle Health and a GPT-4/RAG fraud reporting solution at Cognizant. Stands out for combining scalable data/ML infrastructure, clinical NLP, and GenAI delivery with measurable gains in model quality and workflow efficiency.
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Key Strengths
- owned production ML systems end-to-end from experimentation to deployment and monitoring
- built scalable real-time and batch data pipelines for millions of healthcare records
- strong healthcare AI experience with patient deterioration prediction and clinical text modeling
- improved model precision and recall by 10–15% through retraining, temporal features, and domain-specific BERT tuning
- hands-on MLOps and production monitoring with drift detection, alerts, CI/CD, Docker, and Kubernetes
- shipped GenAI solution using GPT-4, prompt engineering, and RAG for fraud investigation workflows
- balanced latency, cost, quality, and safety tradeoffs in production transformer deployments
- designed reusable Python ML services with testing and versioned APIs that improved team velocity and reliability
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