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Founding Engineer, Research Lead @ poolside
I'm a Founding Engineer at poolside, a company building the world's most capable AI for software development. At poolside, we believe the future of software is AI, and the future of AI is software. Our mission is to develop sufficiently advanced AI that can help drive progress in critical areas like science, health, housing, food, and education. We're focused on building an AI system that can learn to code at a human level and beyond, through a novel approach called Reinforcement Learning from Code Execution Feedback. As a Founding Engineer, I'm part of the small, passionate team working to make this ambitious vision a reality. We're tackling hard problems in areas like large language models, synthetic data generation, and building a real-world environment for our AI to continuously improve. If you're excited about the potential of AI to transform software development, I'd love to connect.
Higher School of Economics
Master's degree, Applied Mathematics and Informatics
January 1, 2017 – January 1, 2019
Higher School of Economics
Bachelor's degree, Software Engineering
January 1, 2013 – January 1, 2017
poolside
Founding Engineer, Research Lead
February 1, 2024 – Present
Paris, Île-de-France, France · Hybrid
Toloka
Head of Product
June 1, 2023 – February 1, 2024
Amsterdam Area · On-site
Yandex
YaLM (YandexGPT) Head of Development
March 1, 2020 – February 1, 2023
Moscow, Russia
Yandex
Machine Learning Engineer
September 1, 2019 – March 1, 2020
Moscow, Russia
Yandex
Machine Learning Engineer
October 1, 2017 – September 1, 2019
Moscow, Russia
Zvooq
Machine Learning Engineer
September 1, 2016 – October 1, 2017
Moscow, Russia
Cultural Fit Analysis
The candidate has a strong background in large tech companies (Yandex) and startups (poolside, Toloka, Zvooq), indicating adaptability to different organizational cultures. The progression into product leadership and founding roles suggests an entrepreneurial mindset. However, the project descriptions are very brief, making it difficult to assess diversity of work or specific cultural alignment beyond technical leadership.
Soft Skills & Operational Fit
The candidate's career progression from ML Engineer to Head of Development and then Head of Product, followed by a Founding Engineer role, suggests strong leadership, product sense, and initiative. The descriptions, while brief, indicate experience in leading significant projects and teams. However, without direct assessment data, specific soft skills like collaboration or stress handling cannot be definitively evaluated.