Alexey Sidnev is a Computer Vision Engineer with over a decade of experience building ML and deep learning systems, specializing in C++, parallel programming and performance optimization for resource-constrained devices. He currently contributes to Reality Labs at Meta on AR/VR, bringing practical on-device CV expertise honed at Huawei where he led a 30-engineer R&D team and shipped efficient keypoint and TTS solutions for mobile products. His background spans full R&D cycles—from academic research as an assistant professor and PhD-level training to production deployments at Intel and startup CTO experience—giving him a rare blend of theoretical depth and product engineering. He has published and presented at major CV venues and driven competitive results such as a top placement at the DeepFashion2 challenge, indicating both research credibility and applied impact. Based in Zurich, he pairs algorithmic rigor with a knack for squeezing performance out of constrained hardware, often solving the integration and collaboration challenges of distributed teams.
10 years of coding experience
15 years of employment as a software developer
PhD in Computer Science (Кандидат технических наук), Математическое и программное обеспечение вычислительных машин, комплексов и компьютерных сетей, PhD in Computer Science (Кандидат технических наук), Математическое и программное обеспечение вычислительных машин, комплексов и компьютерных сетей at ITMO University
Магистр, Прикладная математика и информатика, Магистр, Прикладная математика и информатика at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Contributions:20 commits, 31 PRs, 60 pushes in 1 month
cmakecpplintinfrastructuretravisgtest
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