Michael Pozhidaev is a Lead Developer and PhD-level researcher based in Tomsk with nine years of professional experience building low-level, high-performance C++ systems for GNU/Linux. He currently leads development of Deepsolver, a 20k+ line package manager that applies SAT-based combinatorial optimization to NP-complete RPM dependency resolution and is hosted in ALT Linux's public git. Prior roles include senior development of a random-access RDP-format video player where he designed binary-tree based storage algorithms and delivered tested C++ implementations. An assistant professor since 2012, he blends academic research in NLP and AI with hands-on engineering, and has a longstanding interest in accessibility technologies for the blind. Colleagues value him for tackling algorithmically hard problems and translating novel research ideas into production-quality open-source code.
9 years of coding experience
5 years of employment as a software developer
Ph.D, Computer Science, Ph.D, Computer Science at Tomsk State University
Contributions:3 pushes, 1 branch in 4 years 10 months
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