Things I've built
A collection of web applications and backend systems that demonstrate my technical range and problem-solving approach — from full-scale production apps to learning experiments.
13All Projects
5Featured Projects
6Live demos
AI & Machine Learning
Wony
Always-on personal AI assistant — voice, web UI, tray mode and 15+ integrations.
Key Learnings
Building a plugin system where modules self-register and degrade gracefully when unconfigured
Web Application Featured
Code Lens
AI code-testing platform that runs generated Python tests in isolated Kubernetes pods.
Key Learnings
Splitting a system into microservices with clear boundaries
Web Application
Finance
Expense and subscription tracker with AI insights — runs locally when you want privacy.
Key Learnings
Importing messy bank CSVs and cleaning them up with AI
Web Application
Flagship
My portfolio — resume, projects and a bilingual blog, built SSR-first for SEO.
Key Learnings
Getting SSR right so pages render fully on the server
Game Development
Flappy Bird
Flappy Bird rebuilt in Python with PyGame — gravity, collisions and scoring.
Key Learnings
The basics of a game loop and frame timing
Web Application Featured
League Rats
Track LoL pro players, their accounts and live match stats via the Riot API.
Key Learnings
Working with the Riot Games API and its rate limits
AI & Machine Learning
Neural Network
A neural network built from scratch in Python with just NumPy — no TensorFlow, no PyTorch.
Key Learnings
How a neural network actually works, layer by layer
AI & Machine Learning Featured
OllamaChat
Local AI chat — run LLMs on your own machine with Docker and Ollama, fully private.
Key Learnings
Running LLMs locally with Ollama
AI & Machine Learning
SnakeAI
Snake that teaches itself to play with a hand-written NEAT algorithm in Python.
Key Learnings
Implementing NEAT from scratch
Web Application
Strona randkowa
Uni team project — a Tinder-style dating app on Nuxt and Firebase.
Key Learnings
Writing Firebase Cloud Functions
AI & Machine Learning
Summarizzler
AI summaries from websites, PDFs, text and YouTube — with a shared, searchable archive.
Key Learnings
Pulling text out of very different sources (PDF, web, video)
Interested in Collaboration?
Check out my GitHub for more projects and code examples, or reach out to discuss potential opportunities.