I am a Master's student at the University of Cambridge studying Machine Learning and Machine Intelligence. I completed my undergrad at UC Berkeley with a dual degree in Computer Science and Business Administration. My hobbies include playing soccer, following Formula 1, Indian Hindustani classical singing, and music production. I am interested in machine learning (specifically Computer Vision), graphics, and networks.

In 2021, I interned at Scale, where I created a high-accuracy character-level OCR system. I have previously worked at Apple in the Siri team on multiple features including emergency contact calling, and VMware as a cloud engineering intern where I developed a software release system. I have also worked on a localized chatbot system with intent parsing at Vizru, as well as open-source Software-Defined Networking systems at ONF.

I conducted computer vision research at Berkeley's RISELab. I was also a teaching assistant for CS 170, Berkeley's upper-division algorithms course, a consultant at Berkeley Consulting, UC Berkeley's oldest and premier consulting organization that advises a variety of organizations, and an advisory director at Cal Hacks.

For more information, you can visit my LinkedIn profile . A great majority of my code is on Github. You can also read my resume.

To contact me, shoot me an email.