Andriy Legayev
Co-Founder & Chief Technology Officer at VEN Commerce Ltd
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAndriy Legayev is a technology executive and Co-Founder with over 20 years in software engineering and 13+ years in executive leadership, currently serving as CTO at VEN Commerce where he scaled a distributed company from a handful of people to 65+ staff across engineering, marketing, support, and operations. He blends hands-on engineering experience (PHP, C#, JavaScript, DevOps, data pipelines) with strategic partnership alongside CEOs to align technology roadmaps to business growth, product launches, and M&A-style evaluations. Known for rebuilding teams, instituting observability and CI/CD practices, and driving QA automation, he stabilizes systems during crises and long-term platform modernizations. His open-source contributions include performance and robustness improvements to Meta’s Robyn MMM and optimizations to a PHP JavaScript minifier, reflecting a pragmatic focus on efficiency and scalable analytics. A Harvard Business School Online leadership alum with a technical M.Sc., he uniquely bridges engineering, data science, and corporate strategy to deliver resilience and measurable business value.
12 years of coding experience
2 years of employment as a software developer
Certificate of Specialization in Leadership and Management, Certificate of Specialization in Leadership and Management at Harvard Business School OnlineM.Sc., Computer Science, Computer Networks, Computer Hardware, M.Sc., Computer Science, Computer Networks, Computer Hardware at National Aerospace University -'Kharkiv Aviation Institute'
English, Ukrainian, Russian
Github Skills (15)
algorithm10
r10
optimization10
numerical-optimization10
code-optimization10
algorithms10
php10
performance-optimization10
optimisation10
python10
hyperparameter-optimization9
parallel-processing9
econometrics8
javascript5
fest4
Programming languages (9)
Github contributions (5)
facebookexperimental/Robyn
Nov 2021 - Jul 2022
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 10 PRs, 27 comments in 7 months
Contributions summary:Andriy primarily contributed to optimizing the performance and functionality of the Robyn marketing mix modeling (MMM) package. They addressed an error related to handling organic variables and improved code robustness through length checks on critical input parameters. The user also optimized the Pareto optimum plotting process by implementing parallel processing, leading to noticeable performance improvements. Further contributions include fixing issues related to clustering and channel name matching.
gradient-based-optimisationeffectivityridge-regressionadvertisersmarketing-mix-modelling
tedious/JShrink
Sep 2019 - Sep 2019
Javascript Minifier built in PHP
Role in this project:Performance Engineer
Performance EngineerContributions:7 commits, 2 PRs, 2 comments in 2 days
Contributions summary:Andriy focused on optimizing the performance of the JavaScript minifier. Their contributions include replacing inefficient PHP functions like `in_array()`, `ord()`, and `substr()` with more performant alternatives like `isset()`, character comparisons, and direct string indexing. They also refactored code to use array arguments in `str_replace()` and improve character comparison logic. The modifications resulted in a more efficient minification process.
built-inphpjavascriptminifier
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