Ruslan Khalitov is an Applied AI/ML engineer with eight years of experience bridging cutting-edge research and production systems, currently working as a Senior Associate on applied AI at JPMorgan Chase. He holds a PhD from NTNU where he published on attention mechanisms for extremely long sequences and taught practical ML courses while running large student competitions. Ruslan has repeatedly moved research into healthcare and finance: from deploying on-premise CNN/graph pipelines for early cerebral-palsy detection to shipping attention-based foundation models and graph-based deduplication services at scale. He combines strong quantitative roots (Master’s in Applied Mathematics, top marks) with hands-on MLOps—containerized deployments, graph databases, and LLM/embedding pipelines—for actionable product outcomes. Colleagues would note his knack for translating academic advances into clinician- and enterprise-ready tools and for running focused R&D that informs secure internal LLM use.
8 years of coding experience
8 years of employment as a software developer
Master's degree, Applied Mathematics and Informatics, 8.9 / 10, Master's degree, Applied Mathematics and Informatics, 8.9 / 10 at Higher School of Economics
Contributions:14 commits, 23 pushes, 8 comments in 5 months
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