Artem Fedoskin is a product manager with 11 years of experience building B2B software and leading technical teams across startups, public health projects, and EdTech in Central Asia. Currently steering Doodocs.kz, he focuses on modernizing document signing workflows while combining hands-on engineering instincts from earlier roles as a lead developer for Kazakhstan’s Covid-19 analytics platform. He has a strong backend engineering background (Flask, FastAPI, Celery) and open-source credentials, having contributed subtitle and Teletext support to the CCExtractor project. Artem blends user-centered research—100+ hours interviewing epidemiologists—with product strategy, and has organized region-first initiatives like AI competitions and remote intensive bootcamps. His academic path spans data analytics and international exchange programs in Germany, reflecting a mix of rigorous technical training and global perspective.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Analytics, Master of Science - MS, Data Analytics at Universität Hildesheim
Master Exchange Student, Computer Science, Master Exchange Student, Computer Science at Universität des Saarlandes
DAAD Graduate School Scholarship Programme Stipend Holder, DAAD Graduate School Scholarship Programme Stipend Holder at DAAD Deutscher Akademischer Austauschdienst
Bachelor's degree, Computing Systems and Software, Bachelor's degree, Computing Systems and Software at South Kazakhstan State University
CCExtractor - Official version maintained by the core team
Role in this project:
Back-end Developer
Contributions:6 commits, 6 PRs, 23 comments in 2 months
Contributions summary:Artem primarily contributed to enhancing the project's support for different subtitle formats within Matroska files. The user added EIA-608 and DVB subtitle support to the MKV format. They also addressed issues with incorrect string comparisons, improved the way Tesseract is initialized for hardsubx, fixed a segfault during the cleaning of frame data, and added the -latrusmap option to map Latin symbols to Cyrillic ones in Russian Teletext files.
Небольшое Web приложение, призванное помочь Минздраву РК контролировать распространение коронавируса
Contributions:118 PRs, 299 pushes, 38 branches in 7 months
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