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Lead the design, evaluation, deployment, and scaling of predictive Bio-AI models, multi-agent scientific workflows, RAG systems, and LLM applications. Build evaluation frameworks and production controls for model versioning, observability, monitoring, CI/CD, access control, auditability, and human review. Partner with scientists, bioinformaticians, and data engineers to transform scientific workflows into reliable AI capabilities and improve them through experimental feedback.
