Ex-team leader of ads smart strategies at vk.com with over 5 years of experience in software engineering and machine learning.
My focus area for the past few years has been high-load smart advertising technologies, although I had machine learning research in state-of-the-art advertising algorithms such as bidding strategies and ads recommendation. I had experience in product management, hiring, and team leadership.
London 👨💻 Work everywhere
🛠 GitHub
👩🏻💻 Work experience
🛠 Skills
2021-2022
CEO, co-founder MetaLabs
Single-sided liquidity lending protocol with Impermanent Loss protection. We helped projects attract long-term liquidity without having to give up ownership of their tokens and provide users and investors with profitable investment instrument and impermanent loss protection.
Previously we launched the NFT collection of 3D avatars on Algorand Blockchain and won the Algorand Innovative hackathon in the Digital Art/Collectibles Challenge.
2020-2021
Team Lead, Ads Smart Strategies VK, Saint-Petersburg
Product work and analysis of smart bidding technologies. The hiring process, health & growth of the team. Setting the goals and make the jobs done.
Also work on a new campaign budget optimization project, where the goal of the algorithm is to distribute the daily budgets between ads for maximising the total revenue.
2018-2020
Software Engineer, Performance Advertising VK, Saint-Petersburg
I improve the quality of lookalike audience algorithm. Lookalike algorithm finds users whose demographics and interests are similar to target audience.
I work with the CTR prediction model, that calculates the probability of a user clicking on an ad.
I created the smart bidding algorithms that help advertiser get maximum clicks or other goal actions for their daily budget. I implemented backend, algorithm, and analytics. In present 200k+ ads use it with 100k+$ daily budget.
2018
Software Engineering Intern, LucidSky team Google Mountain View
I worked with a machine learning model of multilabel classification in NLP, used the pretraining model to improve the prediction quality.
2017-2018
Software Engineering Intern, Ads team VK, Saint-Petersburg
I improved the CTR prediction model for advertising, worked with the dataset, and made new features.
2017
Software Engineering Intern, Chrome OS Enterprise/EDU team Google Munich I developed the DeviceOffHours project, the unrestricted using school-managed Chromebooks at home using C++.
2014-2017
Assistant of Information Systems Chair ITMO University, Saint-Petersburg
I was head of hiring applicants to our department. I design a roadmap, events, and other activities for attracting the best school students in computer science.