I try to approach things from a combined mindset, having gained relevant technological, research, and entrepreneurship skills from my past experiences. I like participating and have won several hackathons (ratio 7/10) and competitions in the past years, probably owing to my technological skills and early 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 at the intersection of machine learning, IoT, and climate science.  I graduated cum-laude in both MSc Embedded Systems and MSc Computer Science from TU Delft in 2022, and completed my masters thesis as a visiting student at the Massachusetts Institute of Technology, Senseable City Lab. My thesis led to multiple papers and an invention disclosure (declined patent) with the MIT Technology Licensing Office. My specialization in the domains of optimization and networking aspects of embedded systems, and the fast-moving artificial intelligence domain for computer science enables me to modularize and ideate based on raw hardware and software, from ground up. I am mainly interested in IoT, hardware-software based sensing, and applied problems in machine learning.

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

In my free time, one can find me running outside (race class: 5k, 10k, 21k, 42.2k), strength training at TU Delft X, or learning latin dance. 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 grew up in the heart of New Delhi, India, and since 2019, I have been based in Delft, the Netherlands.

I am usually open to interesting conversations and collaborations, and can be best reached by mail.