Dmitry Levashov is a senior Data & AI Scientist with 16 years of experience applying mathematical rigor to production ML systems that serve millions of users. He has led end-to-end projects in personalization, search, auction price modeling, and assortment analysis—turning ideas from casual conversations into models that improved margins and KPI performance. As a hands-on product owner and scientist at Talpa eCommerce, he shipped a personalized recommender that delivered a 7% margin uplift and an agent-based price model that improved price estimates by 19%. He emphasizes transparency, cross-team collaboration, and practical business value, and founded an internal ML club that grew into an inter-team forum for diverse ML perspectives. Beyond commercial work he contributes to open-source backend tooling (improving PHP backend logic for the popular elFinder file manager), reflecting a pragmatic full-stack mindset. Based in Almere, he pairs deep applied math training with a curiosity for behavioral patterns—often recommending Kahneman’s Thinking, Fast and Slow as a reminder to account for bias.
16 years of coding experience
11 years of employment as a software developer
Master's degree, System analysis and management, system analytics, Master's degree, System analysis and management, system analytics at Zaporizhzhya National Technical University
📁 Open-source file manager for web, written in JavaScript using jQuery and jQuery UI
Role in this project:
Back-end Developer
Contributions:1010 commits in 3 years 10 months
Contributions summary:Dmitry focused on improving the PHP backend of the elFinder project. They made various minor bug fixes and implemented several improvements, including changes to the file and directory handling system, as well as adding support for different aspects of the file system. They also updated code related to archive and search functionality within the project.
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