Yaroslav Gosudarkin

Focused on mentoring\analysing hard-computing C features and analyst workflow efficiency.

• Lead 4 dev teams as system analyst and feature owner, released 7 major features, during 3 releases. Some of them used PostgreSQL, DRF.

• Redesigned the feature architecture, reduced the peak load on the LDAP catalog by 80-85% in several user cases

• Implemented Docs as a Code in product (3k A4 pages of docs) from scratch: migration on Git, configuring, python plugins dev, CSS\PDF\LaTeX styles, vector graphics, CI\CD in .deb, teaching technical writers and analysts. Time spent on documentation tasks decreased on 40-50% avg. across the team. SEE RESULTS

(PDF)

• Refactored main OpenAPI contract on 300+ endpoints (from 45k lines to 27k), that's easier to handle with. Public API version now reusing main contract, that saving 65–80 man-hours each release.

• Forced "API first" ideology, that allowed parallel backend-frontend development: 5-20% decreased avg. time to bring feature to QA team

• Since late 2020 -- writing educational materials for students, Stepik\Moodle courses, etc.

• Since september 2022 -- lecturing "Programming in C" discipline, 300 students each year.

• 2020 - 2023, maintained university's Linux\Jenkins\Moodle\Docker\Docker Registry insfrastructure

University's profile: https://etu.ru/ru/fakultety/fkti/sostav/kafedra-moevm/rukovodstvo-sostav-kafedry/gosudarkin

ASTRA GROUP -- one of the biggest OS-soft vendor in Russia, I'm working in ALD Pro product team.

• Worked in Research & Development team of 6 engineers. My main focus on prototyping && development of 389ds plugins in C\C++, patching FreeIPA submodules and plugins.

• Developed Bash scenarios, SystemD Units, Apache2 servers, cron tasks, Python configurations and Bamboo CI/CD automation Jobs for configuring product submodules

• Collaborated with Astralinux OS team to bring needed patches in base\main OS repository packages.

• Developed some helpful tools and configurations for profiling large C projects and multithreaded Python WSGI apps, mostly using standard profiling tools, tracebacks and AI.