Aleksei Evlampev

Machine Learning Engineer at Verne

Zagreb, Croatia
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Summary

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Senior
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Top School
Aleksei Evlampev is a machine learning engineer with 11 years of experience building autonomous driving systems and commercial computer vision products. He combines academic rigor from Innopolis University’s robotics lab with hands-on production work at Ozon Tech and Verne, delivering localization, SLAM, sensor fusion, and perception pipelines in C++ and Python. His background spans end-to-end development—from LIDAR-based 3D mapping and Bayesian filtering for vehicle state estimation to ML-driven dimensioning devices for logistics. Earlier roles in full-stack and mobile React development honed his product-focused mindset and customer collaboration skills. Now based in Zagreb, he focuses on scalable services and infrastructure for autonomous vehicles while retaining a practical knack for optimizing real-time systems. Peers note his ability to bridge research-grade algorithms and deployable engineering solutions across constrained embedded and cloud environments.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Innopolis University
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Github Skills (57)

pattern-recognition10
sparse10
hierarchical10
smoothing10
factor10
robotics9
gtsam9
behavior9
imu9
lidar9
ros9
python-bindings8
gps8
sam8
apollo8

Programming languages (8)

JavaC++CJavaScriptVueHTMLMATLABPython

Github contributions (5)

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Alevs2R/autocomplete

Mar 2017 - Mar 2017

Contributions:1 release, 18 commits, 7 pushes in 23 days
buryatIlya/FrontJunction2019

Nov 2019 - Nov 2019

Contributions:28 pushes in 1 day
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Aleksei Evlampev - Machine Learning Engineer at Verne