Bio
Rustem Feyzkhanov is a Senior Engineering Manager on the AI Platform Engineering team at Snorkel AI, where he leads work on infrastructure and platform systems for building expert-authored datasets, simulation environments, and evaluation pipelines for frontier AI models and production agents. His work focuses on scalable agent evaluation, secure sandboxed execution, benchmark quality, and the systems needed to run large volumes of agent simulations reliably. Before Snorkel, Rustem was an ML Engineering Manager at Instrumental, applying AI to manufacturing, and an engineer at Astro Digital, building AI systems for satellite imagery. He is passionate about AI agents, evaluation infrastructure, serverless computing, and practical machine learning systems. Rustem is the author of the course and book Serverless Deep Learning with TensorFlow and AWS Lambda and Practical Deep Learning on the Cloud, and he is the main contributor to the open-source lambda-packs repository for serverless Python packages.
Session (1)
Additional Speaker Details
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Rustem Feyzkhanov is an AWS Machine Learning Hero and hands-on ML platform engineer focused on using cloud infrastructure for AI/ML — his talks pair concrete AWS architecture patterns (Lambda, SageMaker, ECS/Fargate, Step Functions, Bedrock) with live deployment demos, making them practical for anyone building or operating ML inference and agentic workflows at scale.