Summary
Semyon Abramov is a Senior Machine Learning Systems Engineer with 11 years of experience building research-driven ML solutions and production-grade software, currently based in Cupertino and working at Apple. He has a strong academic foundation with master’s degrees from MIPT and Skolkovo in applied mathematics, physics, and computer science, and a track record of research engineering roles at Yandex and Avride. His background spans visual odometry for robotics, performance optimization for virtualization, and deploying ML systems—reflecting comfort across low-level systems and algorithmic research. Semyon combines hands-on model development with systems engineering to bridge prototypes and scalable deployments, often focusing on performance and reliability. He brings a practical research mindset informed by internships and industry projects, able to translate novel ideas into production constraints. Colleagues describe him as a technically deep engineer who navigates both mathematical rigor and engineering trade-offs effectively.
11 years of coding experience
2 years of employment as a software developer
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Skolkovo Institute of Science and Technology
Master's degree, Applied Mathematics and Physics, Master's degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)