Vadim Andronov is a Machine Learning Engineer based in London with 11 years of industry experience and over five years focused on deep learning and computer vision, combining an MSc in Applied Mathematics and Data Science with strong engineering discipline. He has built end-to-end CV systems in production—ranging from driver monitoring and passenger counting to onboarding and fraud-prevention pipelines—bringing research-grade models to edge-constrained platforms via pruning, quantization and efficient transformer designs. At Intel he contributed open-source model-compression tooling and novel action-recognition approaches, and more recently advanced CV efforts at Revolut before joining Meta. Vadim’s strengths lie in bridging projective-geometry-informed CV research with pragmatic software practices, enabling rapid iteration and maintainable deployments for real-world applications.
11 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science and Data Science, Master's degree Computer Science and Data Science at Higher School of Economics
Contributions:15 commits, 14 pushes, 4 issues in 3 years 5 months
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Vadim Andronov - Machine Learning Engineer at Meta