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Namratha Murarikar
Mid-level Machine Learning Engineer specializing in cloud-native generative AI for healthcare
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About
AI engineer at Cleveland Clinic building production LLM/NLP systems for radiology documentation, focused on HIPAA-aware, real-time performance across ~298 campuses. Re-architected infrastructure with AWS event-driven services to handle scaling and improved SLA compliance ~40%, and complements this with a personal multi-agent debate system (CrewAI) using local Llama/Mistral plus rigorous evaluation (A/B tests, red teaming, observability).
Experience
Education
Key Strengths
- Built and deployed LLM/NLP clinical documentation system reducing physician admin burden
- Scaled real-time inference across ~298 hospital campuses using AWS event-driven architecture
- Improved SLA compliance by ~40% via pipeline re-architecture (EventBridge/SNS/SQS/Lambda)
- Strong production reliability practices: A/B testing, red teaming, continuous monitoring/observability
- Multi-agent orchestration design with task graphs, shared memory, and concurrency controls (CrewAI)
- Cross-functional collaboration with physicians/clinical leadership; translated workflows into technical requirements and drove adoption via pilots/training
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