The Team Behind Maddox AI
The Team Behind Maddox AI
The Team Behind Maddox AI
Our product is as diverse as we are! Our team consists of entrepreneurs, scientists and engineers who have excelled at leading universities and in their professional lives. For early stage professionals, Maddox AI offers a steep learning curve and a kick-start to your career. Learn more about us here!

Peter Droege
Peter Droege
Co-Founder & CEO
After completing his studies in International Business Administration and Finance, Peter Droege worked for the Boston Consulting Group for several years. There he focused on the implementation of digitalization and innovation projects in large corporations.
After completing his studies in International Business Administration and Finance, Peter Droege worked for the Boston Consulting Group for several years. There he focused on the implementation of digitalization and innovation projects in large corporations.


Behar Veliqi
Behar Veliqi
Co-Founder & CTO
Behar Veliqi studied Computer Science in Karlsruhe and Edinburgh and worked at the FZI and CERN. After his studies, he worked as a software engineer at IBM Watson Analytics and as a research software engineer at the University of Tübingen.
Behar Veliqi studied Computer Science in Karlsruhe and Edinburgh and worked at the FZI and CERN. After his studies, he worked as a software engineer at IBM Watson Analytics and as a research software engineer at the University of Tübingen.
Our Founders
Our Founders
Our founding team combines all relevant skills from the fields of machine learning and product development in order to transfer the latest AI research into an innovative but most importantly intuitive AI-based quality control solution.

Prof. Dr. Matthias Bethge
Prof. Dr. Matthias Bethge
Co-Founder & Senior ML Advisor
Prof. Dr. Matthias Betghe is Professor of Computational Neuroscience and Machine Learning at the University of Tübingen. He is co-initiator of the European ELLIS initiative and has been selected several times as area chair for leading ML conferences such as NeurIPS, ICLR and Cosyne.
Prof. Dr. Matthias Betghe is Professor of Computational Neuroscience and Machine Learning at the University of Tübingen. He is co-initiator of the European ELLIS initiative and has been selected several times as area chair for leading ML conferences such as NeurIPS, ICLR and Cosyne.

Dr. Wieland Brendel
Dr. Wieland Brendel
Co-Founder & Lead ML Advisor
Dr. Wieland Brendel is group leader at the Max Planck Institute for Intelligent Systems, research team leader at the Tübingen AI Center, and Emmy Noether group leader for Robust Machine Learning. He is also co-founder of the German Federal Artificial Intelligence Competition.
Dr. Wieland Brendel is group leader at the Max Planck Institute for Intelligent Systems, research team leader at the Tübingen AI Center, and Emmy Noether group leader for Robust Machine Learning. He is also co-founder of the German Federal Artificial Intelligence Competition.

Prof. Dr. Alexander Ecker
Prof. Dr. Alexander Ecker
Co-Founder & Lead ML Engineer
Prof. Dr. Alexander Ecker is Professor of Data Science at the Georg-August-Universität Göttingen. As an expert in computer vision and machine learning, he is one of the co-inventors of the original Neural Style Transfer Algorithm.
Prof. Dr. Alexander Ecker is Professor of Data Science at the Georg-August-Universität Göttingen. As an expert in computer vision and machine learning, he is one of the co-inventors of the original Neural Style Transfer Algorithm.
Our Team
Our Team
Learn more about our team members, what they do as well as what motivates them to work at Maddox AI

Melis Oktayoglu
Machine Learning Engineer
At Maddox AI, I enjoy applying the latest AI methods to solve real-world problems. Seeing research ideas turn into practical solutions that create value is rewarding, and our ability to quickly adapt to new AI developments makes this especially exciting.


Julian Enz
COO
At Maddox, I’m helping to build AI that works in factory floors across Europe—not just on pretty slides or in concepts. Here, no one spends a lot of time talking about innovation; here, we’re actually developing it for real production lines. It’s exactly my kind of thing.


Shehroz Shafiq Khan
Software Engineer
I enjoy working at Maddox AI because I get to run cutting-edge machine learning directly on hardware at the edge, where it has to perform in real time. Seeing our AI make a real difference on the factory floor — not just in the cloud — is what makes the work exciting for me every day.


Nils Bischop
Junior Account Executive
I enjoy working at Maddox AI, especially because of the dynamic work environment. With the hands-on approach typical of a startup, we’re bringing AI to the factories of the world’s leading manufacturing companies. Through interactions with customers from a wide variety of industries, there’s something new to learn every day.


Nane Glunk
Technical Project Manager
At Maddox AI, I have the opportunity to actively help shape innovative technologies and make a difference together. As a Technical Project Manager, I oversee our projects from kick-off through to the deployment of the AI system in production—always in close collaboration with our clients and our engineering teams. It’s precisely this variety that makes my job exciting every single day, and I never stop learning.


Morgan Anderson
UI/UX Designer
Working at Maddox AI as a UI designer means I’m part of a team where my role extends beyond creating visually appealing interfaces. Here I have an opportunity to learn and work alongside a dynamic team actively shaping how people interact with AI.


Nabil Khalil
Software Engineer
As a Software Engineer at Maddox AI, I love that my work powers real quality inspection on real production lines. Building the analytics and machine learning systems behind it brings constant, meaningful challenges, while working alongside a sharp, collaborative team makes every day genuinely rewarding.


Adrian Liebelt
Technical Product Manager
Flat hierarchies, short lines of communication, and work that lies at the intersection of machine learning, computer vision, and web development create a pleasant and exciting work environment at Maddox.


Aidas Kaminickas
Senior Lead Hardware Engineer
Thinking differently empowers us to develop the functionality needed for AI-based and fully automated E2E solutions. We are here to share our expertise and professional support.


Stefan Wezel
Machine Learning Engineer
I work for Maddox AI because I am passionate about using machine learning to solve real-world problems and advance industry by alleviating tedious and error-prone tasks so that human potential can be applied where it is needed more. I enjoy the mix of engineering and research challenges I encounter in my position as a machine learning engineer.

Our Success Is Based on Our Team
Our Success Is Based on Our Team
Every single team member makes Maddox AI special! Thanks to our different areas of expertise and diverse personalities, we have created a unique team that works towards our vision every day with a lot of motivation and passion.





You can be part of it too!
You can be part of it too!
Learn more about our career opportunities and become part of our diverse and growing team.
Bismarckstraße 136, 72072 Tübingen
+49 159 01479 983
info@maddox.ai
Industries

We are ISO 27001 certified.
Bismarckstraße 136, 72072 Tübingen
+49 159 01479 983
info@maddox.ai
Industries

We are ISO 27001 certified.
Bismarckstraße 136, 72072 Tübingen
+49 159 01479 983
info@maddox.ai
Industries

We are ISO 27001 certified.