I'm an team lead with a passion for building robust, scalable, and ethical AI solutions that drive real-world impact. My background includes experience in developing and leading complex machine learning systems. And I love playing around with tech and solve my own problems using tech.
- AI Strategy & Execution: I guide and empower teams in developing and implementing cutting-edge AI applications across various domains.
- Full-Stack AI/ML Development: I bring a practical, hands-on approach to the entire AI lifecycle, from data exploration and model building to deployment and monitoring.
- Building Scalable Systems: I specialize in architecting and implementing production-ready AI systems that can handle real-world data volumes and traffic.
- Bridging the Gap: I leverage my software engineering foundation to bridge the gap between data science research and robust, maintainable code.
This GitHub profile showcases some of my personal projects, experiments, and contributions to the open-source community. I'm particularly interested in AI/ML, fullstack development and everything else I want to try out.
I'm always eager to connect with fellow engineers to discuss the latest advancements in AI and SE. Feel free to explore my repositories and reach out – let's talk tech!
Here you can find an exerpt of my private hobby projects of the last years:
| Name | Main Purpose | Year | Description | Stack |
|---|---|---|---|---|
| Log a ride [www.logaride.app] | A Multitenant app for tracking kilometers of a shared car pool. | 2025 | When sharing a car, splitting costs and tracking kilometer, can get cumbersome. This app should help to reduce the pain of sharing a car. | TypeScript, Supabase, ReactJS, Postgres, Vite, LLMs, Capacitor |
| Outlaine [www.outlaine.com] | LLM aided writing of texts based on user controlled outlining | 2024 - 2025 | When writing longer texts, I love to start with the outline. Then I was starting using GenAI for the formulation of paragraphs. Outlaine provides a specialized UI exactly for this. | TypeScript, Supabase, ReactJS, Vite, LLMs |
| Orophilia a.k.a Peaks'n'tracks | A platform to explore new ambitious mountaintops by ascent difficulty | 2023 - 2024 | I love hiking and climbing mountains. Hence, I wanted to create a platform to allow for filtering based on the hiking difficult scale (T1-T6). Heavily inspired by the wonderful forum Hikr | Typescript, Supabase, ReactJS |
| Orophilia a.k.a Peaks'n'tracks Crawler | A platform to explore new ambitious mountaintops by ascent difficulty | 2023 - 2024 | The crawler for the Orophilia platform. | Python, Sklearn, Overpass, Open Street Map, Supabase |
| Genflix [Deployment] | Tool to explore the hidden genres of Netlix | 2021 | Netflix has a big number of genres which they do not show. With Genflix I want to make them more accessible :) | VueJS, Typescript |
| arXis-analyzer | Little tool to analyze the popularity of certain research topics | 2021 | It gives information about the number of posted papers on arXis.org based on certain topics. (e.g anomaly detection with and on graphs) | Python |
| Fun with GAN | Repository for GAN Networks | 2021 |
|
Python, PyTorch, Tensorflow |
| Neural Processes | Experimenting with the idea Neural Processes | 2021 | The paper Neural Processes by Marta Garnelo was one of the most fascinating paper for me. I created this repository to explore and fully understand these. | Python, PyTorch |
| RL-ly Fun | Repository for Implementation of Deep-Reinforcement Learning with focus on sample Efficiency | 2021 | Implementation and Comparison of
|
Python, PyTorch |
| NLP Experiments (planned) | Repository for Implementation of NLP algorithms. | planned |
|
|
| Graph DL | Implementation of a Deep Learning algorithms on graph data. | planned |
|
From time to time I am planning the participation in some Hackertons and co. The repositories are linked below.
| Name | Competition | Year | Description |
|---|---|---|---|
| SmartQ | hackatum 2020 | 2020 | Application to keep track on the amount of people within a shop |
| Datamining Cup | Prudsys Datamining Cup 2020 | 2020 | Prediction of future demand of an auctioneer's website. |
Below repositories are listed, which were created for university purposes. This also lists projects listed by group members.
| Name | Task | Year | Description |
|---|---|---|---|
| Fallstudie | Design and implementation of a business simulation game | 2016-2017 | The task was to create a business simulation game, in which different players can run a company and compete against each other. |
| Background Jobs on mobile | Minimum Example of using background jobs in mobile software engineering | 2017-2018 | The task was to create a minimum example and sufficient explanation on background jobs in mobile development. |
| The Mondaypainters | Creation of an application which shows the use case of the Cassandra database. | 2017-2018 | Within this course we needed to showcase a database of our choice. We chose the Cassandra. Eventually we build a highly-scalable app to play the Mondaypainters with a huge amount of people. We based our idea on the Reddit Place Experiment |
| Sample-Efficiency in RL | Implementation and Anylsis of the SAC algorithm. | 2020-2021 | Implementation of the Soft-Actor-Critic Deep-Reinforcement-Learning from scratch and analysis of different hyperparameter |