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Hands-on Product, Data Science, Engineering Leader | Fraud Prevention
I’m a hands-on product and engineering leader with over a decade of experience building high-load, data-driven web platforms end-to-end — from raw, noisy, and incomplete data to valuable, practical products. My core expertise lies in creating systems where software engineering, data science, and product thinking intersect — especially in domains like Fraud Prevention, Device Intelligence, and Computational Advertising. I’ve led cross-functional engineering teams (Backend/ML/Analytics), written production-grade ML-based systems, shipped high-load APIs, and built internal analytics platforms — always with a strong focus on business value and product impact. Currently, I’m working at Sumsub, helping to build a next-generation Fraud Prevention platform at the intersection of product and engineering. My role spans defining product vision and making sure the core engineering systems stop fraud in real time. Previously, I led the engineering team behind the core identification product at Fingerprint.com, the market leader in browser identification. My team combined cutting-edge browser fingerprinting techniques with data science and analytics to build one of the most advanced SaaS products in its class. I was responsible for connecting research, engineering, and analytics to ensure accuracy and engineering efficiency, bringing the research insights to the end customers' value. Before that, I spent 4 years at VK, where I built and scaled the machine learning team behind VK’s advertising platform. We developed core ML-based products such as auto-bidding strategies and fully automated promotion tools for SMBs — technologies that directly contributed to doubling the platform’s advertising revenue. I thrive in early- and growth-stage product environments, where the biggest value comes from being deeply involved: diving into data, writing code, debugging pro
ITMO University
Master's degree, Прикладная математика и информатика (Applied Mathematics and Computer Science)
January 1, 2014 – January 1, 2016
ITMO University
Bachelor's degree, Прикладная математика и информатика (Applied Mathematics and Computer Science)
January 1, 2010 – January 1, 2014
Sumsub
Technical Product Manager
May 1, 2025 – Present
Berlin, Germany · Remote
Fingerprint
Engineering Team Lead
August 1, 2022 – May 1, 2025
Fingerprint
Lead Data Scientist
March 1, 2022 – August 1, 2022
V Kontakte LLC
Machine Learning Team Lead (Computational Advertising)
October 1, 2018 – December 1, 2021
Санкт-Петербург, Россия
V Kontakte LLC
Data Scientist | Web Developer
September 1, 2016 – October 1, 2018
Санкт-Петербург, Россия
Yandex
Software Developer
November 1, 2015 – August 1, 2016
Computer Science Center
Instructor
September 1, 2014 – December 1, 2016
Yandex
Junior Software Developer
October 1, 2013 – November 1, 2015
Yandex
Intern developer
January 1, 2011 – October 1, 2013
Cultural Fit Analysis
The candidate has a diverse background working at prominent tech companies like Yandex, V Kontakte, and Fingerprint, indicating adaptability to different organizational cultures. Their experience spans various domains (search, social media, fraud prevention), showing a broad interest and ability to apply data skills across different problem spaces. The progression from individual contributor to team lead and product manager suggests ambition and a drive for impact, which generally aligns well with growth-oriented cultures. However, the recent transition to Technical Product Manager might indicate a shift away from hands-on data analysis, which needs to be explored for a Data Analyst role.
Soft Skills & Operational Fit
The candidate's experience as an Engineering Team Lead and Machine Learning Team Lead demonstrates strong leadership, team building, and project management skills. The descriptions highlight collaboration with product and research teams, indicating good cross-functional communication and a product-oriented mindset. The focus on building a strong engineering culture and supporting team growth suggests a positive operational fit.