Max Strakhov is a Software AI/ML Engineer with 14 years of experience and a 12-year software engineering career that includes eight years at FAANG companies, currently building monetisation AI at Meta from Zurich. He has led cross-continental teams up to 26 engineers and founded multiple high-impact Google initiatives—most notably Publisher Brand Safety and Content Recommendation—that together protected and monetised ad ecosystems at billion-dollar scales. His work spans search, ads, cloud, conversational AI and generative models, with demonstrated wins like preventing $500M ARR losses, delivering $1B ARR, and improving brand safety by ~30,000%. As a founder and CTO of a hardware startup, he shipped two wearable products and grew an engineering and research org from scratch, and he mentors over a hundred engineers. A pragmatic engineer with deep ML systems experience, he also contributes to open-source tooling (e.g., a well-engineered Sublime color-highlighter plugin), reflecting a blend of product focus and hands-on coding.
14 years of coding experience
13 years of employment as a software developer
Free listener, Free listener at Moscow Center for Continuous Mathematical Education -- Independent University of Moscow
Free listener, Free listener at Yandex Data Analysis school
Undergraduated Applied Mathematics, Undergraduated Applied Mathematics at Bauman Moscow State Technical University
ColorHighlighter - is a plugin for the Sublime text 2 and 3, which underlays selected hexadecimal colorcodes (like "#FFFFFF", "rgb(255,255,255)", "white", etc.) with their real color. Also, plugin adds color picker to easily modify colors. Documentation: https://monnoroch.github.io/ColorHighlighter.
Role in this project:
Full-stack Developer
Contributions:422 commits, 43 PRs, 130 pushes in 5 years 10 months
Contributions summary:Max appears to be a full-stack developer, primarily focused on the development of the ColorHighlighter plugin for Sublime Text. Their contributions focused on implementing various features to enhance color code highlighting and improve the user experience. This involved significant changes to the core Python code, including adding support for various color code formats and options. The user also addressed bug fixes and performance improvements, showcasing a well-rounded understanding of the project's codebase.
Contributions:377 commits, 310 PRs, 278 pushes in 3 years 7 months
rustrustlangstandard-libraryjavajni
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