Summary
Simon Appel is a software developer with 9 years of experience building real-time, production-grade systems at the intersection of renewables, robotics, and machine learning. Currently at Fluence, he engineers data ingestion and neural-network forecasting pipelines to optimize wind and solar park performance and storage. His background includes low-latency C++ perception and sensor-fusion work at Amazon and Mercedes, plus embedded and computer-vision solutions that ran on constrained hardware like Jetson Nano and Raspberry Pi. He holds an MSc in Systems Engineering and Automation and a top-ranked BSc in Electrical Engineering, bringing strong numerical and systems-thinking skills to energy problems. Notably, he combines field-proven autonomy algorithms with battery-storage domain knowledge to turn noisy meteorological and plant data into actionable forecasts. Based in Zurich, he focuses on scalable, sustainable tech that directly reduces carbon footprint through smarter energy production and storage.
9 years of coding experience
4 years of employment as a software developer
Study abroad, Electrical and Electronics Engineering, GPA 3.88, Study abroad, Electrical and Electronics Engineering, GPA 3.88 at Iowa State University
Bachelor of Science (B.Sc.), Electrical Engineering, Final grade: 1.1 (equivalent GPA 3.9), Bachelor of Science (B.Sc.), Electrical Engineering, Final grade: 1.1 (equivalent GPA 3.9) at Ulm University
Master of Science (M.Sc.), Systems Engineering and Automation, Final grade: 1.3 (equivalent GPA 3.7), Master of Science (M.Sc.), Systems Engineering and Automation, Final grade: 1.3 (equivalent GPA 3.7) at RWTH Aachen University
Computer Science | Artificial Intelligence | Ethics, Computer Science | Artificial Intelligence | Ethics at IDEA League Summer School on Responsible Artificial Intelligence
Spanish, German, English