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Below, I share key milestones from my coding adventure. Scroll on to learn more!
My coding journey began at age 12 in 2016 with a summer course on Arduino microcontrollers at Phaenovum Student Research Center in Lörrach, Germany. Those early experiments sparked my passion for programming and computer science.
I soon discovered web development and eagerly started learning HTML, CSS, and JavaScript.
Limited by time restrictions on our family computer, I couldn’t dive as deep as I wanted, but my curiosity kept me hooked.
In 2019, a game-changer arrived when my school decommissioned old computers, allowing me to take one home.
With a friend’s help, I upgraded and overclocked it to meet modern standards (ish), unlocking new possibilities for coding. This marked a turning point, enabling me to explore languages like Python, Java, and more (see Projects section below).
My interest in Machine Learning also took root, leading me to complete courses at Phaenovum. I also worked on various personal projects, honing my skills and deepening my understanding in Machine Learning.
In 2024, I began my Computer Science studies at the Karlsruhe Institute of Technology, supported by a scholarship from Begabtenstiftung Karlsruhe. I’m thrilled to deepen my expertise through advanced ML courses and personal projects.
In 2025, I gained hands-on software development experience during an internship at eschbach, which fueled my drive to grow.
Alongside my studies, I’m taking additional courses to expand my knowledge and am working on projects to push my skills further.
With this project I tried to implement a Neural Network from scratch.
An experimental simulation exploring quantum mechanics in a billiards-like environment, likely focusing on particle dynamics.
This project represents my final high school thesis, for which I also received the award for Computer Science and Math at JugendForscht 2024 (student science competition). In this thesis I explored ways and algorithms for improving basic number recognition via Machine Learning on very small datasets.
This project is about a Trading Bot for trading crypto currencies. The application is written in Python and using the Kucoin API for requesting the market data and posting buy and sell orders. The core program represents a framework for testing different trading strategies live or backtesting.