Jan Müller

Who am I

My name is Jan Müller, and my research and engineering interests lie in general computer science, particularly in software engineering, computer vision, and deep learning.

I hold a Bachelor’s degree in Applied Mathematics and a Master’s in Applied Computer Science from Hochschule Hannover in Germany, where I also worked as a research associate.

How I Got Here

I didn’t start out in IT; I actually began my career as a church organ builder. It was a hands-on, detail-oriented craft that combined my love for music with precision engineering. That experience taught me a lot about patience, problem-solving, and working with complex systems, just not digital ones yet.

Over time, I got increasingly drawn to math and computing, which led me to study Applied Mathematics and later Applied Computer Science at Hochschule Hannover. Early on, I explored numerical methods, digital image processing, and software engineering, just to name a few areas that really captured my interest at the time.

For my Bachelor’s thesis, I explored optical music recognition, basically teaching neural networks to read sheet music and getting my first hands-on experience with deep learning. It was a fun way to merge my musical background with machine learning and computer vision.

While completing my Master’s, I worked on a variety of projects, some of which I found especially fun and rewarding. These included test-driven development in Java, building a small game in C# featuring procedural terrain generation, implementing mesh generation algorithms in C++, and exploring digital image processing techniques that built on my earlier studies. These were just a few highlights that really sparked my curiosity and pulled me further into computer vision and software engineering.

Around the same time, I worked as a research assistant at the Institute of Production Engineering and Machine Tools. There, I got to dive into machine learning and deep learning projects, analyzing time series data from industrial machines to spot anomalies and help predict when maintenance was needed.

Most recently, I worked as a research associate at Hochschule Hannover on one of my biggest and most complex projects so far, real-time multi-object tracking for smart cameras. This involved implementing and training sophisticated models, and focusing on compressing them to make the networks smaller, faster, and more efficient without losing accuracy. Along the way, I gained valuable experience managing a larger project, configuring servers for heavy computing tasks, and setting up CI/CD pipelines to streamline development and deployment, all skills I’m proud to have built.

About This Site

This website was created in 2025 to showcase my personal profile and to blog about my research and engineering passions, as well as other things I enjoy.