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Satish Kumar Reddy
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
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About
Built and deployed a production LLM/RAG intelligent document understanding platform for healthcare clinical documents (notes, discharge summaries, diagnostic reports), integrating spaCy entity extraction, Pinecone vector search, and a Spring Boot API on AWS with monitoring and guardrails. Demonstrates strong MLOps/orchestration (LangChain, Airflow, Kubeflow/Kubernetes) and a metrics-driven evaluation approach, and partnered with a healthcare operations manager to cut manual review time by 80%.
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Key Strengths
- Built and deployed production RAG-based LLM system for unstructured healthcare documents
- Solved large-document constraints via intelligent chunking and vector retrieval
- Reduced hallucinations using retrieval validation and enforced structured JSON outputs
- Optimized inference latency and cost with caching and AWS serverless deployment
- Established monitoring and alerting to detect performance degradation early
- Strong MLOps/orchestration experience across LangChain, Airflow, and Kubeflow in Kubernetes environments
- Rigorous agent/workflow testing approach (unit tests, simulations, edge cases) with measurable metrics
- Effective non-technical stakeholder collaboration; delivered 80% reduction in manual review time
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