About Me
Hi! I'm a software engineer with almost 5 years of experience. I have a strong background in Python and it's frameworks. But I'm always open for new challenges and I'm fluent at Golang also.
Skills
Python/Go
Django/FastAPI
SQL(PostgreSQL/MySQL)
NoSQL(MongoDB)
Docker/Compose/Swarm
AWS/Cloud
Linux/Ubuntu
CI/CD(GitLab)
Microservices
Experience
Uzinfocom (Uzbekistan, onsite) | Software Engineer & Engineering Lead
Aug 2023 - present, 1 year 8 months
A single integrator for creating and supporting government information systems.
- Designed and developed ufa.sriss.uz - national football electronic platform (for now only internal gov staff)
- Implemented a solution for video editing, and implemented an internal AI service for player performance in-game
- Automated debugging processes which reduced debugging time by 2h/day and allowed real-time bug monitoring
- Designed and developed mmmkpi.uz - launched for gov/university managers. Monitoring, managing, and calculating gov staff KPIs
- Daily code review and mentoring. Led a small team with 4 members (Used SOLID, OOP principles)
- Stack: Python, FastAPI, Django, Go, Docker Swarm, PostgreSQL, Redis, Linux/UNIX, Docker, Sentry, OAuth2, GRPC, CI/CD
DSR Corporation (Uzbekistan, hybrid) | Software Engineer
Sep 2022 - Aug 2023, 1 year
Worked in several fields. Internal time tracking, salary/kpi calculation service.
- Designed and developed platform for internal staffs time tracking platform. Used by whole company(1k+ users) daily
- Optimized legacy database by refactoring and database normalization. Used SOLID while implementing new solutions
- Reduced company staff time by 1 hrs/day by integrating Jira, Zoom, LDAP, and Bitbucket into the internal system
- Stack: Python(Flask, Django), Go, Docker, PostgreSQL, Redis, AWS, OAuth, CI/CD, LDAP
ZK.UZ (Uzbekistan, onsite) | Software Engineer
Sep 2020 - Sep 2022, 2 years
Implemented several solutions for business automation (fields: kindergarten, gov, banking support, logistics)
- Designed and developed a logistics platform for bms.uz that tracks vehicles, monitoring stats of trucks and GPS location
- Handled weekly 2 mln data of vehicle location history. Used Database partitioning for monitoring and providing data. 1000+ vehicles' live data handled in the platform
- Provided and developed solutions for kindergartens by implementing face recognition. Used by 30+ kindergartens and 5k users
- Designed and developed WMS for storing and monitoring data for the company's private client
- Stack: Python, Django, FastAPI, Postgresql, Docker, Redis, Pytest, Celery, Nginx, Docker, AWS, Go, CI/CD
Education
Contact
Feel free to reach out to me through any of these platforms: