AI Moving Lamp
DC-powered lamp that uses computer vision to detect notebooks, stop, and turn the lights on. The lamp uses a raspberry pi and a tensorflowlite model that we trained. Each part was specially modeled and 3d printed or laser cut.
Projects
Heavy Neutral Lepton Classification
Used transfer learning and lottery ticket hypothesis pruning to create an optimal heavy neutral lepton classification neural network. For this project I was part of the Excellence Research Internship Program at EPFL.
Car Racing Reinforcement Learning
Explored Reinforcement Learning techniques to optimize virtual car racing performance in the Gymnasium CarRacing environment. Employed Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO) models, enhanced with reward augmentations, demonstrating the impact of architectural choices and training methodologies on achieving high-speed, stable racing behavior.
Vibration Isolation Stage
During my summer internship at the HYQU laboratory at ETH Zürich, I developed a stabilization system for a Cryostat Fabry-Perot interferometer experiment. This involved deriving differential equations for amplitude attenuation and designing an optimal system using pendulums, springs, and eddy current dampers. My role also included performing intricate physical calculations for heat dispersion and magnetic field derivation.
Morph Neural Architecture Search Pipeline
Automated pipeline to streamline neural architecture codesign for fast unversal neural networks. high-energy diffraction microscopy.