Denis Kazakov is an experienced scientist-engineer with 11 years building applied ML and NLP systems across academia and industry, from newsroom analytics and Alexa to self-driving perception at Uber and production NLP at Altana AI. He blends research rigor—M.S. in Applied Math and deep ML research on recurrent architectures—with product-focused delivery, shipping customer-facing models, reproducible pipelines, and explainability tools at scale. Denis has led model deployment, mentoring, and cross-functional planning while tackling hard problems like hierarchical classification, semi-supervised learning, and differential privacy impact studies. Based in New York, he’s particularly interested in unsupervised NLP and building ML products that move from prototype to production. An often-overlooked strength is his background in dynamical systems and information-theoretic perspectives, which informs robust, interpretable model design.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree:, Applied Mathematics, Computer Science, Leadership Certificate, GPA: 3.9, Bachelor's degree:, Applied Mathematics, Computer Science, Leadership Certificate, GPA: 3.9 at University of Colorado Boulder
Contributions:13 pushes, 1 branch in 3 years 1 month
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