SaiGanesh Konagalla

About

Healthcare AI/ML engineer with Epic experience who built and deployed a HIPAA-compliant GPT-4 RAG clinical assistant over large medical document sets, emphasizing privacy controls and low-latency performance. Also automated end-to-end retraining and deployment of patient risk models using orchestration/CI-CD (Jenkins, SageMaker, MLflow), cutting deployment time from hours to minutes while improving reliability.

Experience

Education

Key Strengths

• Built and deployed HIPAA-compliant RAG clinical assistant (GPT-4 + LangChain + vector DB) for context-aware answers over medical documents
• Strong privacy/security implementation in healthcare AI (VPC isolation, schema filtering, RBAC, audit logs, encryption at rest, source-grounding guard layer)
• Performance optimization for real-time LLM systems (batched embeddings, vector dimension reduction, ANN search, caching, latency monitoring)
• End-to-end ML orchestration and CI/CD (Jenkins + SageMaker) including automated retraining, validation, training, MLflow logging, and production rollout
• Agent/workflow evaluation rigor (edge/failure test sets, automated + human review, metrics for correctness/hallucination/latency, feedback loops and drift checks)
• Effective collaboration with non-technical clinical stakeholders via iterative prototyping and translating needs into requirements