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mhorod/README.md

Hi 👋, I'm Michał

a Theoretical Computer Science student from Kraków


My favorite projects

Chess, Checkers, and Minesweeper in one!

Written in Java as a team project for Object Oriented Programming.

My job was to plan the architecture, design and implement interfaces connecting user interface with raw games.

Tanuki - mock-up of a programming contests website. Created using Postgres, Deno, Typescript, Tailwind, and Docker as a team project for Data Engineering.

I managed the tech stack and runtime environment, and built server-side components handling user requests.

Sokoban - remake of a popular game.

Written for a programming contest in pure Javascript, HTML, and CSS, with attention to the architecture and readability.

Duh - small compiler of a lisp-inspired imperative language to an assembly-like PMC language used on Programming Basics course.

Written in Python to avoid mundane debugging of very raw PMC, and learn more about compilers.

battleship-rl - Playing the Battleship game with Neural Networks, Reinforcement Learning, and some heuristics.

Made using numpy, matplotlib, tensorflow, and pygame as a team project for Probabilistic Methods for Machine Learning course.

Languages

c cplusplus python java javascript rust haskell typescript bash

Tools

linux postgresql docker git

Pinned Loading

  1. chess chess Public

    Chess made as an assignment project for OOP course 2021/22

    Java 3

  2. tanuki tanuki Public

    Simple programming contest website made as a project for Data Engineering course

    PLpgSQL 1

  3. sokoban sokoban Public

    Sokoban game made for a Motorola Science Cup contest

    JavaScript 1

  4. duh duh Public

    Small programming language created as a side project on Programming Basics course

    Python 4

  5. language-prototyping language-prototyping Public

    Collection of prototypes and experiments related to designing a simple programming language and it's compiler

    Python

  6. battleship-rl battleship-rl Public

    Playing Battleship using Reinforcement Learning

    PureBasic 1