
Felix Schaller
PartnerProfile
| Profile Type | Partner |
| First Name* | Felix |
| Last Name* | Schaller |
| Nickname* | freshNfunky |
| Country and City of Residence * | Germany, Munich |
| My Hourly Rate in $ | 97.02 |
| About me: | Felix works at the intersection of systems engineering, simulation, and model-based development, with a teaching focus that connects AI, robotics, and engineering software in real project contexts. They are particularly suited to learners tackling complex system behavior, architecture, and integration challenges rather than only low-level code. Based in Eglharting and traveling frequently between Germany and the Middle East, they can teach comfortably in either English or German. |
Skills
| Language Skills* | English, German |
| Matlab* | Intermediate |
| Simulink* | Intermediate |
| Robotics and Automation* | Expert |
| Electric Circuits* | Beginner |
| Matlab Image/Video/Audio Processing* | Intermediate |
| Finite-Elemente-Analysis (FEA, FEM)* | Intermediate |
| Computational Fluid Dynamics (CFD)* | Intermediate |
| Computer Aided Design (CAD)* | Expert |
| Java* | Expert |
| Python* | Expert |
| C, C++* | Intermediate |
| Data Science | AI* | Expert |
| Description of skills | My background combines AI, software engineering, and systems engineering with experience in robotics, simulation, and model-based development. I am comfortable working with Python-based AI systems as well as MATLAB/Simulink environments at a system level. I focus on understanding system behavior, architecture, and integration challenges rather than low-level implementation, and enjoy helping others build intuition for complex engineering systems. |
Work experience
- Sep 2024 — Present Frational / Interim DeepTech Expert self-employed
I help investors, family offices, consultancies and engineering teams assess and de- risk AI and autonomy systems — through technical due diligence, certification- feasibility review (ISO 26262 / SOTIF) and failure-mode analysis. Fifteen years of model-based safety engineering across automotive, aerospace and defense, now combined with formal-semantic AI for systems that can be trusted, validated and certified. A twenty-five-year throughline runs from procedural, simulation-driven computing to perception, safety and formal-semantic reasoning.
- Mar 2017 — Nov 2025 Validas AG Lead Research Engineer
Led model-based V&V frameworks for safety-critical automotive and aerospace software; traceability, testing and certification workflows; autonomy perception & localization validation (Camera / LiDAR) in regulated environments. Ran numerous tool-qualification consulting projects; built internal tooling (TCA, ATLAS, PMT, QKit). External engineer at Airbus Defence and Space: test automation of a mission-planning system, CI migration (Jenkins / Ant → Bamboo / Maven). Supervised Bachelor’s & Master’s theses.
- Jan 2013 — Mar 2017 AF-AX Founder
Seed-stage startup developing patented, passively shape-shifting aerodynamic surface technology for drag reduction and dynamic high-lift (rotor blades, wings, hulls). Grounded in own fractal vortex-theory research.
- Nov 2001 — Jan 2013 Computational Graphics & Simulation Developer Self-Employed
Procedural, geometric and physics-simulation techniques that now underpin computer vision, SLAM, digital twins and AR — hands-on since the early 2000s in node-based, visual-dataflow tooling, long before “low-code” went mainstream. Procedural generation, geometric modeling, fluid / cloth & physically-based simulation; custom pipelines (Houdini, Maya, Python). Seedbed for my later work in perception and formal-semantic AI. Credits on IMDb.






