Leonid Dolgirev
[email protected] Telegram LinkedIn GitHub Portfolio Moscow
Backend Engineer | Python, Kafka, ClickHouse | High-Load APIs | ML/LLM Infrastructure & AI Agents | 5+ Years
Experience
Center for Research in Big Data Systems and Information Technologies
Jul 2026 – PresentSoftware Engineer
- Ship AI-agent features in production: internal BPM platform for task management (used by humans and AI agents), MCP (Model Context Protocol) integration, AI-assisted test/code-review pipelines
- Built the company's engineering infrastructure from scratch: GitLab with GitLab Runner, CI/CD pipelines, and deployment of internal services
Stack: Python, FastAPI, Docker, GitLab CI/CD, Nginx, PostgreSQL, vLLM
EdgeCenter (ex-Gcore)
Apr 2025 – Jun 2026Python Engineer
- Stream OpenStack telemetry (Neutron, Trove, Nova, Octavia) through Kafka into ClickHouse at ~10,000 events per 30 seconds
- Cut Tornado API error rates with a failure-intercept module that returns correct responses
- Fixed Ceph volume deletion timeouts for large storages (10+ TB) in the Go management API
- Added AI-assisted test and code-review pipelines to the existing suite
- Own platform on-call (Sentry, Prometheus), handling 7–10 incidents per week
Stack: Python Tornado, Go, PostgreSQL, ClickHouse, MariaDB, OpenStack, Kafka, Docker
CDNvideo (Beeline)
May 2021 – Apr 2025Middle Python Developer
Oct 2022 – Apr 2025- Built ClickHouse data-integrity monitoring that detects duplicates at up to 1,000,000 rows/s ingest
- Shipped an event-driven metrics platform (Kafka, Vector, PostgreSQL, Aiohttp) for core service KPIs
- Accelerated the authorization service (Tornado, PostgreSQL) by 30% and reduced peak-load errors
- Integrated MobileID 2FA on Django across 8,000+ user accounts
- Rewrote a legacy module and cut incidents by 25%
- Mentored two developers to full productivity within one month
Junior Python Developer
May 2021 – Oct 2022- Operated real-time collect → parse → load pipelines into ClickHouse
Stack: Python Aiohttp, Tornado, Django, PostgreSQL, ClickHouse, Redis, Kafka
Skills
Languages: Python, Go, SQL
Technologies: ClickHouse, Kafka, PostgreSQL, Redis, MariaDB, Aiohttp,
Tornado, Asyncio, Docker, SQLAlchemy, Pytest, OpenStack, Sentry, Prometheus, Git, REST
APIs, AI agents, LLM tooling
AI / LLM: MCP (Model Context Protocol) integration, AI agent
orchestration, LLM tooling, AI-assisted development (tests, code review)
Methodologies: Distributed systems, high-load APIs, data pipelines,
on-call / observability, AI-assisted development
Education
Volgatech (PSTU)
Sep 2023 – Nov 2027Languages
Russian — native; English — professional working proficiency
Additional Information
- Open to remote and relocate
- Public GitHub (github.com/dlgrv): dlgrv.com, Hermes Agent contributions, agent-skills hub (~1,100 contributions this year)
- Studying LLMs and building with AI agents outside core backend work
- Translating a Chinese evidence-based life-guide book (7.8k+ GitHub stars) into Russian with LLMs and custom translation methodologies; translation featured in the original repo's README (github.com/dlgrv/HowToLiveBetter)
- Project-based work: OpenRTB bidding, VAST/VPAID ad serving