Volodymyr Yurasov
Offer Volodymyr work on your next project.
Rating
CV
Backend developer focused on Python and building reliable, scalable systems.
With 2+ years of commercial experience, I've built and maintained production APIs, AI agents, and distributed data pipelines, working with AWS, Azure, CI/CD pipelines, and Pydantic AI.
💻 What I do:
- Backend development — REST APIs and services with FastAPI / Django / DRF, focused on clean architecture and maintainable code.
- Distributed systems & orchestration — built fault-tolerant pipelines on Temporal, reliably processing 2M+ entries per week.
- AI agents — production AI customer support agent built with Pydantic AI + Django, handling real-time user interactions.
- Databases — PostgreSQL, MongoDB, Neo4j, Redis: schema design, query optimization, caching.
- DevOps — Docker, CI/CD (GitLab CI/CD), deployment on AWS ECS and Azure Container Apps.
🧰 Tech stack:
Python, FastAPI, Django, DRF, Temporal, Pydantic AI, SQLAlchemy, PostgreSQL, MongoDB, Neo4j, Redis, AWS, Azure, Docker, Git
Why work with me:
✅ Experience building systems that reliably process millions of records at scale
✅ Shipped production AI agents, not just prototypes
✅ Clear deadlines, transparent communication on progress
Have a project? Message me — let's discuss the details and timeline.
Skills and abilities
Services
Writing
Portfolio
-
334 USD CV parser
Bot DevelopmentBuilt a Slack bot that accepts any resume (PDF) along with user wishes in the message and returns a reformatted resume in the company's branding style. Under the hood is a FastAPI server that sends the PDF to an AI model with a predefined prompt and structured output (JSON schema of the resume data). The obtained JSON is rendered into a .docx template via Jinja, the finished document is saved to the corporate Google Drive, and the link is returned to the user in Slack.
#Slack #chat-bot #googleApi #fastapi #json #AI #openai-api
-
668 USD BBB parser
Data ParsingBuilt a distributed pipeline for parsing data from the Better Business Bureau (BBB) on Temporal — workflow orchestration ensured reliable processing of 6M+ records per week with automatic retries and failure recovery. To bypass anti-bot protection, used curl_cffi (TLS fingerprint spoofing) along with proxy rotation. Enriched part of the data through SERP scraping (Serper API). Deployed workers executing workflows on Azure Container Apps. Separately implemented parsing and mapping of raw data into a structured format. All data was stored in a database for further use.
#scraping #python-scraping #PostgreSQL #azure #curl #ORM