Digital Portfolio

An automated self-checkout system that recognizes meals on canteen trays using an iPad and cutting-edge machine learning. In my 2.5 years at this company, I helped making the prototype a full-fledged widely used product.

The Siddata-Project facilitates study individualization through a digital data-driven assistant, available as a Stud.IP Plugin.

For this thesis, I created a Conceptual Space from Course Descriptions for explainable Recommendation, in a highly performant pipeline on the university-grid.

Sub-Pages:

• High-Level Intro
• Thesistext
• Snakemake & Sun Grid Engine

In this student research job for the Red Hen Lab, I worked on a pipeline that automatically detects hand gestures in large datasets of videos, involving OpenPose for Pose Recognition, Person detection, Person tracking, Scene detection and more, and deployed it on a HPC using Snakemake and Singularity to create a multimodal communication corpus from the Ellen DeGeneres show.

A comprehensive course, with lectures and interactive assignments, about Scientific Programming in Python, offered at the University of Osnabrück.

Bomberperson is a maze-based multiplayer for 2 - 4 Players, that was programmed in a C++-project following up the respective university-course. All players should try to eliminate each other and be the last one standing. Player can place bombs which explode after a certain amount of time in multiple directions and can destroy obstacles and other players. Destroyed obstacles can drop power-upgrades that temporarily improve a Player.

A speech-controlled meditation assistant and sentiment tracker

An automated pipeline to split a bunch of scanned pages into single documents

Delving into the realm of self-driving cars for my bachelor’s thesis, I endeavored to optimize their tactical decisions, particularly speed, using cutting-edge deep neural networks and reinforcement learning in tensorflow within a transformed racing simulation. The resulting research platform, built on Unity, showcased the potential of real-time feedback and adaptability, offering valuable insights into the future integration of reinforcement learning in self-driving cars.

In this 3D-Browser-Game developed in a computergraphics-project using THREE.js, the player is trapped in the infamous burning AVZ and must try to escape this inferno. The player controls the in-game character and must overcome obstacles, puzzles and traps to get to the bottom and out of the AVZ. Play here!