Igor Slinko is a researcher and machine learning leader with 13 years of programming experience and eight years focused on ML, currently researching Large Language Models and AI agents at JetBrains. He has led teams at Samsung and startups, taking 15 ML projects from prototype to production across computer vision, robotics, time-series, and embedded inference. Notable work includes lightweight CV models for live sports analytics, large-scale object detection for thousands of SKUs with active learning, and SLAM/depth solutions for robotics. He authors four popular ML courses reaching ~90k learners, consults ML teams, and has three publications, reflecting a blend of practical delivery and teaching. Comfortable in C++, Python, and ML tooling (TFLite, PyTorch, MLflow, DVC), he pairs research instincts with hands-on engineering to bridge experiments and reliable production systems. An early contributor at Yandex and a background from MIPT and Yandex School of Data Analysis hint at strong algorithmic foundations behind his product-focused work.
8 years of coding experience
13 years of employment as a software developer
Master of Science - MS, Mathematics and Computer Science, Master of Science - MS, Mathematics and Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
Computer Science, Computer Science at Yandex School of Data Analysis
Contributions:67 commits, 43 PRs, 60 pushes in 3 years 3 months
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