Third-year Computer Science and Artificial Intelligence student at AGH University of Kraków. Actively looking for an internship in backend systems, ML/AI, or data engineering.
- stock-market-simulator — Go REST API simulating a tiny stock exchange. Postgres-backed, Caddy + N replicas behind a load balancer with chaos-test failover, single-transaction audit log, full CI on Linux/macOS/Windows. Rendered API docs.
- postin-iot — Smart mailbox: ESP32 firmware (C, ESP-IDF, MQTT) talking through a Python MQTT↔Firebase bridge to a React + TypeScript dashboard and a Kotlin Android app. Custom drivers for AHT20 temperature/humidity and VL53L7CX time-of-flight sensors.
- medical-appointment-system — Full-stack medical visit scheduling app. React + TypeScript + Material UI on the frontend, Node.js + Express + MongoDB + JWT on the backend. Patient / doctor / admin roles, weekly calendar, doctor ratings, appointment CRUD.
- dapl-compiler — Interpreter for DAPL, a small statically-typed language for tabular-data manipulation. Built with ANTLR4 in Python. Course project at AGH (Compiler Theory & Compilers).
- reservo — ASP.NET Core 9.0 MVC web app for booking firm resources, with EF Core, SQLite, role-based access, and a key-authenticated REST API. Co-authored with Mateusz Sobiech.
- machine-learning-labs — Thirteen labs from AGH's ML course: regression, classification, tree-based methods, and deep learning (Keras/TensorFlow, CNNs, RNNs).
- graph-neural-networks-coursework — Three assignments from AGH's Deep and Graph Neural Networks course: tabular ML with SHAP, YOLOv8 on aerial imagery, RNN/BERT for emotion classification.
- computer-vision-labs — Six labs from AGH's Advanced Vision Algorithms course: edge & feature detection, background segmentation (ViBe/BSUV-Net), optical flow, and tracking (MOSSE + SiamFC).
- data-engineering-labs — Six projects from AGH's Data Engineering course: pandas, JSON/CSV handling, spatial data, time series, and SQL window functions.