Vlad Mikhailenko
Staff Software Engineer at Lyft
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolVlad Mikhailenko is a Staff Software Engineer in Berlin with 12 years of experience specializing in mapping, algorithms, and data-driven search improvements. He has led mapping and ML/NLP initiatives at Lyft after prior roles at Mapbox and MAPS.ME, combining production-grade system design with hands-on algorithmic problem solving. Vlad focuses on improving map quality and search relevance by blending statistical models, NLP, and scalable engineering. Trained in applied mathematics, he brings a quantitative mindset to messy geospatial problems and a track record of shipping reliable systems that elevate user experience. Off the clock he’s known for a bit of irreverent swagger—“Stone Cold” Steve Austin style—which hints at a pragmatic, results-first approach to engineering.
12 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at National Research University of Electronic Technology (MIET)
English, Ukrainian, Russian, German
Github Skills (8)
uid10
objective-c10
uikit10
ios10
user-interface10
front-end-development10
ui-design10
swift3
Programming languages (4)
Github contributions (5)
vmihaylenko/omim
Sep 2015 - Jul 2019
MAPS.ME - Offline OpenStreetMap maps for iOS/Android/Mac/Linux/Windows
Contributions:15 PRs, 1890 pushes, 61 branches in 3 years 10 months
linux-windowswindowsios-androidlinuxandroid
VladiMihaylenko/HandDetection_OpenCV
Feb 2015 - May 2015
Contributions:16 commits, 1 PR, 13 pushes in 2 months
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