Denis Simagin is a technical team lead with a decade of experience building perception, motion planning, and behavior layers for delivery robots, currently leading the behaviour layer team at Avride in the Austin area. He cut his teeth at Yandex, contributing to motion planning and geodata services for mapping products while also mentoring students as a lecturer and project curator. Trained in applied mathematics and computer science at the Higher School of Economics and Yandex School of Data Analysis, Denis blends algorithmic rigor with practical ML and robotics engineering. He focuses on hard problems in machine learning and efficient algorithms, aiming to make lasting impact in robotics and AI, and his GitHub work centers on self-driving delivery robots. Less obvious: he pairs production engineering with academic-style teaching, bringing both hands-on deployment experience and a strong foundation in algorithmic theory.
10 years of coding experience
Master's degree, Applied mathematics and computer science, Master's degree, Applied mathematics and computer science at High school of economics
Computer science, Computer science at Yandex school of data analysis
Contributions:43 commits, 1 PR, 45 pushes in 2 years 4 months
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