About me

People who are really serious about software should build their own hardware- Alan Kay (1982)

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 the 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 (in journals Nature Sustainability and IEEE Sensors), and an invention disclosure with the MIT Technology Licensing Office. My specialization in the domains 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. Occasionally and on rest days, I also like playing beach volleyball (recreation only). Each day, I try to learn more about world economics, philosophy, and new cultures by reading books, listening to podcasts and talking to as many diametric people.

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

I am always open to collaborations and interesting conversations, and can be best reached by email.