Vyacheslav Fedorov

Develop and conduct seminars and lectures for "Software development and application in Physical research" course for Applied Mathematics and Physics program. Focus on teaching practical Python programming for scientific computing with emphasis on best practices, testing, and real-world applications.

Lead development of critical accelerator control and simulation software. Developed SCAUT and ACCUMULATOR frameworks for automating particle accelerator experiments on SKIF injector. Implemented beam envelope calculations and trajectory solvers using numerical relativistic schemes with Python/C++, NumPy, SciPy, Numba. Applied ML algorithms for beam envelope optimization using genetic algorithms and Bayesian optimization. Created real-time PyQt GUI for accelerator tuning. Established CI/CD pipelines with GitHub Actions. Mentor team members and conduct training seminars on advanced topics.

Led team of 5 developers on fintech application using Django, PostgreSQL, Celery, RabbitMQ, React. Developed ML-powered medical application for CPT code assignment using microservices, serverless computing, AWS Lambda, DynamoDB, GraphQL. Created IntelliJ plugin for static code analysis based on SonarQube. Managed team operations including estimation, code review, mentoring, and technical seminars.

Developed and tested IR horizon sensor for CubeSat "Norbi". Created test software and conducted successful sensor trials whose results were used in satellite launch in 2020. Collaborated on embedded systems and real-time processing for space applications.