title: “Career” type: “page” showTableOfContents: false

AI Engineer and Software Developer with 5+ years of experience specializing in reinforcement learning applications for industrial optimization problems. Proven track record of developing innovative solutions for complex engineering challenges. Combining technical expertise with entrepreneurial experience to bridge the gap between AI research and practical industrial applications.

Professional Experience

2024-Today | Research Assistant at TH Rosenheim

  • Design and implementation of an open source{:target="_blank"} RL framework for solving job shop scheduling problems
  • Training state-of-the-art models in a distributed training environment
  • Integration of the trained models into a real-world factory lab environment{:target="_blank"}

2023-2025 | Co-Founder & CTO at Advanced Additive

  • Prototyping of a reinforcement learning-based algorithm for pathfinding under domain-specific constraints for 3D printing slicers
  • Design of a heuristic algorithm to optimize the density of 3D printed parts utilizing a variable extrusion width
  • Deployment of a scalable containerized web app with user management as an alpha release for customers
  • Supervision of diverse technical stakeholders for the startup, mainly freelancers and students

2021-2023 | Career Break

  • Two years on a bike from Argentina to Alaska

2019-2021 | Software Engineer at Krones GmbH

  • Design and implementation of an RL model for solving a decision problem for a delta robot in a palletizing process{:target="_blank"}
  • Integration of the model into a web app
  • Validation and documentation of the solution

Education

2020 | Bachelor’s Degree in Mechanical Engineering at TH Rosenheim

  • Thesis: Automated parameter generation for a delta robot using a reinforcement learning model at Krones{:target="_blank"} (Grade 1.1)
  • Voluntary Project: Time series predictions for household ovens using machine learning at BSH{:target="_blank"} (Bosch/Siemens) (Grade 1.0)

Publications & Patents

  • A reinforcement learning framework for job shop scheduling under real-world constraints arXiv{:target="_blank"}

  • System and method for automated generation of motion and position parameters of a packaging or palletizing machine for bundle arrangement Justia Patents{:target="_blank"}

Have a look at my CV{:target="_blank"} or download directly{:target="_blank"}