I am a recent graduate with an MSc in Operations Research from the University of Groningen in the Netherlands, where I specialized in ML, particularly deep learning and reinforcement learning.

Below is some cool stuff I have worked on both academically and professionally:

• Built a tool that allows multinational corporations to lower their effective tax burden (read: save billions of dollars) on international transactions: TreatyHopper. You can read more about it in my blog post.
• Developed a new method for routing optical waveguides on photonic chips using Bézier curves, resulting in more compact and efficient chip designs.
• Founded a startup, De Bezwaarfabriek, specializing in appealing traffic fines using fine-tuned large language models. Featured in De Telegraaf, NL Times, and the Legal Tech Map.
• Developed an audio recognition algorithm similar to Shazam for identifying advertisements in audio streams.
• Simulated multiple logistics warehouses from scratch to optimize item placement and streamline order picking for a company in logistics (approx. €2.4B group revenue) and e-commerce (approx. €520M revenue).
• Applied adaptive large neighborhood search to solve the multi-trip electric vehicle routing problem with parcel lockers. Computations were performed on the Hábrók high-performance computing cluster at the University of Groningen.
• At age 17, developed a proof of concept for a DNA-based digital storage system, where each base (A, C, G, T) represented a pair of bits (00, 01, 10, 11). Synthesized multiple oligonucleotides and sequenced them to verify the concept.
• At age 15, built a cluster computer using Raspberry Pis. This was my first exposure to parallel computing.
• And many more.

I am currently exploring my options. In the meantime, I am available as a freelancer. If you have an exciting project in mind, feel free to book a call.

Contact / LinkedIn / GitHub / X / Blog