Sergey Malchevskiy
Entrepreneurial Background & AI/ML Product Leader | Algorithmic Trading | MIPT Alumnus
I create effective solutions to help companies make more efficient decisions based on data. I specialize in quantitative research, machine learning, and analytics.
Random Facts
- Developed my first computer vision model in 2007 – a neural network for ecological monitoring that could count thousands of wild reindeer in aerial photos. It was a crazy dope project!
- I earned my first degree in Computer Science through a 5-year program, where I received the President's Scholarship and won grants for R&D projects.
- As the Digital Marketing Unit Director, I handled crisis management, leading the team to break-even within 9 months and achieving operational profitability in just over a year. Additionally, we won a Silver Mercury award for a project that reached over 20 million people.
- I worked as a Quantitative Researcher and Data Scientist in the trading industry, including at an algorithmic hedge fund and at 3Commas. I enhanced trading algorithms using ML models and statistical methods, in some cases reducing drawdowns by half – a significant achievement, especially considering it's one of the largest crypto trading platforms with a monthly trading volume of $20 billion and millions of daily transactions.
- As a Technical Product Lead at Speech Technology Center, I led a brilliant team of 20, including PhD-level experts, to build a robust facial biometrics SDK that consistently ranked highly in prestigious competitions like NIST.
- Taking on a new challenge, I earned a Master's in Applied Mathematics and Physics with honors from the Moscow Institute of Physics and Technology (MIPT), where I specialized in Technology Entrepreneurship. This experience provided both deep academic insight and invaluable networking opportunities.
- I founded AI Works Lab to serve as a 'Chief AI Officer as a Service' for startups and SMBs building AI/ML products. I defined the vision, built the team, and led development to the MVP+ stage, gaining experience in diverse fields like real-time video analytics on autonomous edge devices, optimization of investment strategies, and real estate pricing.
- My contributions to the tech community include writing articles on Medium about quantitative trading and investments that have garnered over 200k views, as well as an open-source project on GitHub that has surprisingly surpassed 100+ stars.