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6 followers · 8 following
  • Kraków, Poland

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Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLO

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLO

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@software-mansion

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piotrsac/README.md

Hi there 👋

I'm Piotr, a software developer and a computer science student at AGH UST in Cracow. I'm passionate about creating complex systems and writing quality code. Always trying to get better and learn new technologies!

Tech I often work with:

🔭 Featured projects:

Darwin world

Java 25 simulation of animal life inspired by Darwin's theory of evolution. Visualised with JavaFX GUI, features multi-threading, built with Gradle.

Web store

Fullstack app for online shopping. Backend made in Flask with SQLite DB, frontend in React, written in Typescript. You can create your account (verified with JWT), place orders, add opinions and more.

Furniture Manufacturing Database ERP System

MS SQL Server database solution designed for a specialized furniture manufacturer.

🌱 I'm currently learning:

📫 How to reach me:

Email: piotrsaczawa3@gmail.com

LinkedIn: https://www.linkedin.com/in/piotrsac/

⚡ Fun fact: I love skiing, even on Polish resorts 😀

Pinned Loading

  1. Darwin-world Darwin-world Public

    A Darwinian simulation of animal life developed in Java as an object-oriented programming project at AGH UST.

    Java 1

  2. Flappy-bird Flappy-bird Public

    Flappy bird clone made in JS

    JavaScript

  3. Web-store Web-store Public

    Full-stack e-commerce web app built with React and Flask, featuring authentication, product browsing, reviews, cart management, orders, and notifications.

    TypeScript

  4. Furniture-Manufacturing-ERP-System Furniture-Manufacturing-ERP-System Public

    A robust MS SQL Server database solution designed for a specialized furniture manufacturer

    TSQL

  5. Object-oriented-programming-course Object-oriented-programming-course Public

    AGH UST OOP course solutions

    Java

  6. Adaptive-stochastic-sampler-for-black-box-domains Adaptive-stochastic-sampler-for-black-box-domains Public

    A Python-based algorithmic solver for generating high-quality Blue Noise point distributions inside unknown 2D areas (multiply-connected domains).

    Python