Computer scientist specialized in machine learning and AI, including computer vision tasks and action prediction applied to real-world settings and robotic applications. Extensive work experience in digital companies requiring AI, programming, and mathematical expertise. Known for my practical approach, and my open and supportive nature. Committed to implementing solutions from idea to physical outcome.
2024
2024
Göttingen, DE
2020 - 2024
Collaborated with multiple EU universities on the ReconCycle project, researching self-reconfigurable hardware and software for the disassembly of electronic devices. Moved towards improving environmental sustainability and recycling efficiency. Focused on computer vision methods for scene description and action prediction of disassembly actions.
Amsterdam, NL
2017 - 2019
Specialized in stochastics, with core fields: stochastic processes and simulation, machine learning theory, cryptology, and computational finance.
Thesis: Application of deep learning for simulating time-series of futures curves.
Leiden, NL
2014 - 2017
Core fields of study: analysis, algebra, linear algebra, stochastics, information theory, and AI.
Thesis: Investigation in lower bounds for communication in distributed computing.
Built multiple electronics projects, using ESP8266 based micro-controllers. Created hardware to monitor environmental data in real-time and trigger actions including lights and shutters. Created hardware to control LEGO mindstorms motors including battery management circuits for the purpose of automating trains, featuring collision avoidance.
2014 - present