I hold an MSc in Operations Research from the University of Groningen in the Netherlands, where I specialized in mathematical optimization and machine learning (ML).

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 Dutch media including De Telegraaf and NL Times, and on the Legal Tech Map.
• Built an audio recognition system based on Shazam's fingerprinting algorithm to identify ads 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.
• And many more.

I am currently exploring my options while freelancing and working on my own projects, particularly drawn to those on or close to the cutting edge. If you have an exciting project in optimization, ML, or anything data-related, feel free to book a call or check out my CV.

Contact / CV / LinkedIn / GitHub / X / Blog