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John Chance
Senior Machine Learning Engineer specializing in conversational AI and healthcare ML
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About
ML/AI engineer with hands-on ownership of both classical recommender systems and safety-sensitive LLM agent platforms. They combine production MLOps depth with behavioral health domain experience, including clinical safety validation, explainability, and multi-agent orchestration, and cite measurable impact in both business metrics and latency reduction.
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Key Strengths
- owned end-to-end ML system delivery from experimentation to deployment and monitoring
- built production recommendation system that improved CTR by 18% and conversions by 10%
- reduced production latency by 25% in e-commerce recommendation serving
- shipped safety-conscious LLM agent systems for behavioral health use cases
- improved LLM inference latency from 8 seconds to under 2 seconds
- strong applied experience balancing latency, cost, quality, and safety in production AI systems
- implemented human-feedback and clinical-compliance evaluation loops
- translated research ideas in autonomous agents and reinforcement learning into scalable production systems
- designed reusable Python services and orchestration frameworks that improved team velocity
- experience with scalable cloud deployment using Docker, Kubernetes, AWS, and CI/CD
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