I try to approach things from an entrepreneurial mindset, having gained relevant technological skills from my past experiences. I have won several hackathons (ratio 7/10 and various competitions in the past years probably owing to my technological skills and business acumen. Got accepted for a D.Phil at the University of Oxford in the UK but ended up pursuing my Ph.D. at TU Delft (funded directly by faculty) allowing high flexibility in my research areas on intersection of climate science, machine learning and IoT. I graduated cum-laude in both MSc Embedded Systems and MSc Computer Science from TU Delft in 2022 owing to a period as visiting student at the Massachusetts Institute of Technology, Senseable City lab which led to two papers (submitted to the journals Nature Sustainability and IEEE IoT), and an invention disclosure with the MIT Technology Licensing Office. My specialization in the domain of optimization and networking aspects of embedded systems, and the artificial intelligence domain for computer science enables me to modularise and ideate based on raw hardware and software, from ground-up. I am mainly interested in IoT, hardware-based sensing, and applied problems in machine learning.

In my free time, one can find me running (race class: 5k, 10k, 21k), survival-run training with Slopend, spinning and strength training at TU Delft X, reading books, and listening to podcasts. Occasionally and on rest days, I also like playing tennis, and volleyball (recreation only). Each day, I try to learn more about world economics, philosophy, and cultures.

I try to collect the thoughts and ideas that I find interesting and can discuss for hours on this page: Words for Words