Yurii S.

Data and AI teams hire me when they need one engineer who can own the Python backend, build the ETL pipeline, and integrate LLM models without splitting that into three separate roles. 6 years, AWS Certified Cloud Practitioner, 100% JSS, $20K+ earned on Upwork. One unusual differentiator: I hold a Master's degree in Radiology from Kharkiv National Medical University. For Healthcare AI and medical data products, I understand the domain, not just the stack. What I have built: AI Website Builder (2 years, Lead, team of 15): led backend architecture for an AI-powered page generation platform. LLM content generation, SEO processing, async delivery via Celery and Redis. Stack: FastAPI, OpenAI, LangChain, PostgreSQL, AWS, Docker, React, Stripe. Sensitive Data Monitoring SaaS (1.5 years): high-load backend scanning cloud sources for sensitive data leaks. Distributed processing with Kafka, NLP and OCR detection pipelines, Elasticsearch and Cassandra at scale. Stack: Python, FastAPI, Kafka, Elasticsearch, Neo4j, Redis, AWS. Blockchain Security Platform (1 year, team of 13-15): ETL pipelines for detecting suspicious wallet behavior across blockchain data. Graph database modeling with Neo4j, full AWS infrastructure. Stack: Python, FastAPI, Neo4j, PostgreSQL, AWS (EC2, ECS, RDS, Lambda). Web Automation Platform (1 year): reverse-engineered authenticated HTTP request flows, automated login and data extraction workflows, session management and CSRF handling. Stack: Python, asyncio, aiohttp, Playwright, Docker. On Upwork: 10 contracts, $20K+ earned, 313 hours, 100% JSS. Python ETL, web automation, data extraction, scraping pipelines. How I work: Requirements and solution design before implementation. I take ownership from spec to production. Unit tests, async-aware Pytest coverage, API documentation maintained throughout the project. I communicate clearly on blockers without being asked. I operate with the full backing of Meduzzen's senior engineering team. Every commit I ship is peer-reviewed by our internal technical leads before deployment. If I am unavailable, your sprints do not stop: a fully briefed Meduzzen engineer provides immediate coverage. One point of contact, zero single-point-of-failure risk. Core stack: Python, FastAPI, Django, PostgreSQL, Redis, Celery, Kafka, Elasticsearch, Neo4j, Docker, Kubernetes, AWS (EC2, ECS, RDS, Lambda, S3), LangChain, OpenAI, React, TypeScript, GitHub Actions. If you need a Python backend engineer who can own data pipelines and AI integration in the same role, send me the architecture brief. I will tell you how I would structure it.