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.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
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Mikhail Doroshenko - Machine Learning Engineer at Mcq