Enjoying my sweet period of initial stability working as a SWE at Google.
I have a diverse experience as a Software Engineer and have worked with many different tech stacks. After interning at Google I converted to an FT SWE. Before that I was working at companies of varying sizes, from huge corporations to small startups.
I finished my MSc in Data Science at the University of Zurich, where my main focus was Computer Vision and Software Engineering (and a combination of both), but my courses of choice covered a broad range of topics, starting with Network Science and Systems for Data Science, through Advanced Programming, Advanced Software Engineering, and Deep Learning, to finish with Vision Algorithms for Mobile Robotics, 3D Vision, and Computer Vision.
My master's thesis on "Maze escape with AI nano robots" was conducted in collaboration between IIS @ ETH and Robotics and Perception Group @ UZH. It covered quite a few different topics, from developing a scalable simulation environment in NVIDIA Isaac Sim, generating synthetic data for collision avoidance, integrating 3rd-party inference stacks, training CV models to optimizing CNNs for low-power hardware.
Feel free to reach out to me on LinkedIn or by email. Whether it is regarding some interesting opportunities, open-source projects, or with some questions, I'll always be happy to answer. When dropping a message, attach your favorite cheesecake recipe.
