Summary
Aliya Prokofyeva is a quantitative developer and senior machine learning engineer with 11 years of experience building production ML systems for major financial institutions. She has led cross-functional teams at Credit Suisse and UBS, architecting compliance-aware LLM services, automated regulatory impact assessments, and ML-driven lead generation and monitoring tools that reduced manual work and improved decision-making. Now based in Zurich, she combines a strong applied math and physics background from MIPT with recent DAS training in computer vision from ETH Zürich, bridging research-grade methods and pragmatic, auditable engineering. Known for shipping end-to-end solutions that integrate into complex compliance workflows, she also brings teaching experience in computer vision and a history of mobile and backend development dating back to early fintech prototypes.
11 years of coding experience
13 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at University of Fribourg
Master of Science (MS), Applied Physics and Mathematics, Master of Science (MS), Applied Physics and Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
DAS in Data Science, Computer Vision, DAS in Data Science, Computer Vision at ETH Zürich
Lyceum "The Second School"