Badges
Certifications
Work Experience
ML and Advanced Python Courses Lecturer
Russian-Armenian University / Yandex Data School• September 2023 - Present
Lecturing Python and Machine Learning at the Department of Systematic Programming of the Institute of Mathematics and Informatics
Academic Researcher
Ion Sources Laboratory at Institute of Applied Physics of Russian Academy of Sciences• September 2016 - April 2023
• Achieved record-breaking results for a volumetric negative hydrogen ion source and was the first to propose a high-power VUV radiation source based on the hydrogen ECR discharge sustained by microwave radiation. • Conducted all stages of the physical experiments from the hypothesis formulation and organizing the research team to modeling simulations (C++), post-processing the data (MATLAB) and writing articles. • Co-author of 32 articles and of one patent. Google Scholar: Roman Lapin, h-index = 6 (https://scholar.google.com/citations?user=R3bH0W4AAAAJ). • Participated in over 5 international conferences, including those in Italy, China and the US. • Served as the Conference Coordinator and Scientific Secretary for the Project DARIA conference, acted as the Technical Organizer for the Physics City Olympiad, held the roles of Head of the Youth Jury and Technical Organizer for Russian Outbreak in Science and Technology Science and Engineering Fair.
ML Intern
Intel• July 2018 - August 2018
Made an investigation on car color detection and classification model training with TensorFlow in Python, found optimal car color determination method with the accuracy of 95.5%, published results on Habr.com (https://habr.com/ru/companies/intel/articles/422689/ -- in Russian).
Education
The Institute of Applied Physics of the Russian Academy of Sciences
Plasma Physics, PhD• September 2019 - September 2024
Nizhny Novgorod State University
Advanced School of General and Applied Physics, MS• September 2016 - August 2019
GPA = 4.0 / 4.0
Nizhny Novgorod State University
Advanced School of General and Applied Physics, BS• September 2013 - August 2016
GPA = 3.75 / 4.0