Bohdan K.

Engineering teams hire me when they need one person who can build the Python API and deploy it to AWS without handing off to a separate DevOps engineer. 4.5 years building Healthcare AI backends with Django and FastAPI, Kubernetes deployments on AWS, 100% JSS, Top Rated Plus. What I have built: Clinical Trial Management System (1 year 3 months): backend for a Healthcare CRM managing patient enrollment, randomization algorithms assigning patients to placebo or medication groups, role-based access control for sensitive medical data, and REST APIs for CRM integration. Full DevOps ownership: Kubernetes with Helm, Prometheus and Grafana monitoring, GitHub CI/CD pipelines. Team of 9-12. Stack: Python, Django, DRF, MySQL, AWS, Docker, Kubernetes, Helm, Prometheus, Grafana. AI Medical Form Completion Service (1 year 8 months): NLP backend that automatically fills medical intake forms by extracting structured answers from patient records using LangGraph. Microservice architecture, document processing across PDF and DOCX formats, AI prompt engineering for accurate field extraction. Team of 2-3. Stack: Python, Django, LangGraph, PostgreSQL, AWS, Jenkins. Government Employment Platform (1 year 6 months): national employment platform with Elasticsearch-powered search, multi-language support, GraphQL APIs, customized Django admin panels, and AWS infrastructure. Team of 6-7. Stack: Python, Django, DRF, GraphQL, PostgreSQL, Elasticsearch, Celery, Docker, AWS. On Upwork: FastAPI backend for API integrations and data processing, 37 hours, 5 stars. Unit tests and code coverage for ArXiv MCP, 5 stars. How I work: Architecture documentation before code. CI/CD pipelines from day one: linting, tests, Docker builds, artifact storage, automated deployment. Unit tests before any feature ships. Infrastructure is code, not manual configuration. 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, Django, FastAPI, React, PostgreSQL, MySQL, Redis, Docker, Kubernetes, Helm, AWS (EC2, ECS, S3, ECR, CloudWatch), GitHub Actions, Prometheus, Grafana, Celery, LangGraph, Elasticsearch. If you need a Python backend that is properly deployed and monitored from day one, send me the architecture overview. I will tell you how I would structure it.