Summary
Nicola Küng is an ETH Zurich-trained robotics and systems engineer with eight years of hands-on experience bridging mechanical design, embedded systems, and machine learning for motion capture and control. He has delivered measurable product improvements—such as a 90% reduction in IMU calibration time—through sensor modelling, Kalman filtering, and deep-learning-based motion reconstruction using PyTorch. Equally comfortable teaching and mentoring, Nicola has supported large undergraduate courses and coached design teams, while also gaining practical industry skills from PLC programming to industrial vision. Now working as an IT consultant in Zurich, he seeks engineering challenges with sustainable impact and brings a rare blend of academic rigor, field-tested prototyping, and a demonstrated focus on climate-positive applications.
8 years of coding experience
3 years of employment as a software developer
Master's Thesis, Computer Science, Master's Thesis, Computer Science at Københavns Universitet - University of Copenhagen
Exchange Semester, Exchange Semester at The University of British Columbia
Matura, Latin & Philosophy, Matura, Latin & Philosophy at Kantonsschule Hohe Promenade
Master of Science (MSc), Robotics, Systems and Control, Master of Science (MSc), Robotics, Systems and Control at ETH Zürich
German, English, French, Spanish, Danish