Domagoj Puljic

Designed and deployed FastAPI backends with PostgreSQL for client projects Integrated multi-provider LLM infrastructure (Gemini, Claude) with cost optimization Built AI-driven features including structured data extraction and intelligent matching Containerized services with Docker and CI/CD

Built a modern website using Next.js for a general medical practice (Hausarztpraxis) in Switzerland

Developed and maintained Django-based backend services with complex business logic for energy calculations and simulations Enhanced service integration and backend workflows involving AWS S3 Improved system observability and stability through rigorous root-cause analysis, significantly reducing incident resolution time for production services Built internal tooling that reduced incident resolution time by 30% Translated customer requirements into technical solutions, ensuring alignment between business goals and system architecture

Supported architectural migration from Django monolith to microservices (FastAPI / Flask) Containerised services using Docker, improving deployment workflows and release speed by 40% Mentored junior developers and conducted code reviews to ensure high standards of code quality and maintainability Ensured the stability and maintainability of complex FastAPI services by enforcing clean code standards via uv, Ruff, and comprehensive type-hinting Improved database performance and test automation (PostgreSQL, pytest), reducing CI pipeline runtime by 30%