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Vamsi Reddy
Mid-level AI/ML Engineer specializing in healthcare and financial ML systems
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About
ML/AI engineer with hands-on experience shipping both predictive healthcare models and clinical GenAI assistants into production. They combine strong MLOps depth across Azure and AWS with healthcare-specific safety thinking, including PHI guardrails, retrieval grounding, and production monitoring, and they also built internal Python tooling for fraud ML workflows at Capital One.
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Key Strengths
- end-to-end ownership of production ML systems
- healthcare AI expertise with EMR and clinical document use cases
- strong MLOps and deployment skills
- production monitoring across system health, model performance, and data quality
- iterative model improvement using rebalancing and domain-specific features
- improved model F1 from 4.02 to 4.85
- reduced Azure compute cost by about 20% via pruning and quantization
- practical RAG architecture decisions over fine-tuning
- LLM quality and safety evaluation in regulated healthcare settings
- implemented PHI masking, prompt injection filtering, and safe fallbacks
- translated research-style agentic prototypes into reliable production systems
- built internal Python SDKs that improved consistency and onboarding
- experience across both healthcare and financial services domains
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1 publication
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