Backend
- REST APIs, authentication and domain-aware integrations
- Python, TypeScript, FastAPI, Node.js, Prisma and SQL
Backend, data and applied AI
Software Developer
I build APIs and systems that move from draft to real use.
My focus is backend: rules, integrations and predictability. I use AI when it saves time, improves decisions, or helps organize information.
Applied AI
- RAG, validation and preprocessing before the LLM
- AI for lookup, automation and operational support
Data and delivery
- PostgreSQL, MySQL, MongoDB and maintainable data models
- Docker, Azure, observability and deployment without ceremony
Projects that show what I deliver
AI agent for industrial cost analysis
Python backend with structured data, chat history, RAG and validation to support cost analysis.
Retailer Dashboard
Full-stack MVP with authentication, role-based access, stock, cash register, sales and receipts using Node.js, TypeScript, Prisma and MySQL.
Thesis: Monolith vs Microservices
Architecture comparison on a resource-constrained server using Go, Docker, k3s, PostgreSQL and gRPC, measuring latency and usage.
I do my best work on problems that need backend, data and AI with control.