Vlad Fatenko
Senior Software Engineer at Google
Poland
Summary
🤩
Rockstar🎓
Top SchoolVlad Fatenko is a Senior Software Engineer with 11 years of experience combining strong mathematical training and production-grade C++/Python engineering, now building systems at Google. He has a background in quantitative development for trading and statistical computing, contributing bug fixes and efficiency improvements to the high-profile Stan probabilistic programming project. Comfortable moving between core algorithmic work and pragmatic optimizations, Vlad focuses on correctness and performance in numerical code, drawing on a Master’s in Mathematics and Computer Science from Kyiv Polytechnic Institute. Based in Poland, he brings a researcher’s attention to probability and statistical analysis to large-scale software problems, with a track record of improving core library components rather than surface features.
11 years of coding experience
9 years of employment as a software developer
Lyceum #171 "Leader"Enrollee Mathematics and Physics and Computer Science, Enrollee Mathematics and Physics and Computer Science at Ukrainian Physics-Mathematics LyceumIgor Sikorsky Kyiv Polytechnic Institute
Github Skills (13)
bayesian10
c-language10
stan10
cprogramming-language10
bayesian-inference10
bayesian-data-analysis9
mcmc9
algorithms8
numerical-optimization8
algorithm8
code-optimization8
optimization8
optimisation8
Programming languages (3)
Github contributions (5)
stan-dev/stan
Jun 2019 - Jul 2019
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 1 PR, 12 comments in 18 days
Contributions summary:Vlad primarily contributed to the codebase by fixing bugs and improving the efficiency of the Stan statistical modeling language. Their work involved modifying core components such as `base_xhmc.hpp` to correct return types, members and switch to more efficient implementations. They also made changes to testing files and core library functions, highlighting a focus on code correctness and optimization within the Stan ecosystem.
bayesian-inferencestanmasterbayesian-statisticsdetails
vladfat/sys-an-labs
Oct 2015 - Jan 2016
Contributions:90 commits, 1 branch in 3 months
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