Mikhail Doroshenko

Machine Learning Engineer at Mcq

Lille, Hauts-de-France
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Summary

👤
Senior
🎓
Top School
Mikhail Doroshenko is a Machine Learning Engineer based in Lille with 11 years of experience building and maintaining C++ systems for indoor navigation and improving positioning quality through data analysis. He brings a strong physics foundation from MIPT and a research-to-product trajectory at Navigine before joining Mcq, blending algorithmic rigor with practical engineering. His day-to-day focuses on sustaining a local C++ navigation library while iterating on data-driven enhancements to real-world navigation solutions. Outside work he studies deep learning as a hobby, applying modern techniques to bolster classical navigation stacks and bridge research ideas into production-ready code.
code11 years of coding experience
job4 years of employment as a software developer
bookMaster's degree, Physics, Master's degree, Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
languagesАнглийский
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Github Skills (32)

location-services10
pedometer10
geolocation10
indoor-positioning10
trilateration10
publish9
algorithms8
ide7
deep-learning6
anaconda6
tensorflow6
language-server-protocol6
python6
deeplab5
development-environment5

Programming languages (2)

C++Python

Github contributions (5)

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Sandell0/Semester-Project-1

Apr 2015 - May 2015

Contributions:11 pushes, 1 branch in 26 days
Sandell0/Colab-experiments

Jan 2022 - Jan 2022

Contributions:10 pushes, 1 branch in 1 day
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Mikhail Doroshenko - Machine Learning Engineer at Mcq