Alexey Gaziev is a seasoned engineering leader and founder with 16 years of experience building web and ML-driven products, currently serving as Co-Founder and CTO of Playbook after leading Machine Learning at Evil Martians and Amplifr. He combines hands-on full‑stack expertise—rooted in a long Ruby/Rails open‑source history (notably contributions to the popular gon gem)—with a deepening focus on applied deep learning and competitive ML practice as a Kaggle expert. Alexey has repeatedly taken projects from first specs to production and growth, managing teams up to ten engineers and products with thousands of daily users. He is equally comfortable diving into implementation details and aligning technical direction with product and customer needs. With a postgraduate CS background and artsy outside interests (guitar, oil painting, climbing), he brings a creative, multidisciplinary perspective to technology and team leadership.
16 years of coding experience
18 years of employment as a software developer
Postgraduate Degree, Computer Science, Postgraduate Degree, Computer Science at University of San Francisco
Master's degree, Mathematical Statistics and Probability, Master's degree, Mathematical Statistics and Probability at Peter the Great St.Petersburg Polytechnic University
Contributions:330 commits, 33 PRs, 73 pushes in 10 years
Contributions summary:Alexey primarily contributed to the `gon` project, a Rails gem for transferring variables from Rails to JavaScript. Their work focused on the core functionality of the gem, including improvements to JavaScript generation and variable handling. The user also addressed XSS vulnerabilities by implementing HTML entity escaping and enhanced the gem's features with the addition of functionality for rabl and jbuilder templates. Furthermore, they refactored the codebase for better maintainability and added features like camel case support and custom namespacing.
Node.js scraper service for Open Graph Info and More!
Role in this project:
Back-end Developer & QA Engineer
Contributions:9 commits, 6 PRs, 3 comments in 25 days
Contributions summary:Alexey primarily worked on improving the functionality and reliability of the Open Graph scraper. They refactored the code to use promises, took only text from head elements and added an option to retrieve all images and videos. They also fixed a test case, implemented additional test cases for charset handling, and corrected error handling in the callback.
scrapenode-jsmeta-tagsscrapingnodejs
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