I immigrated from Nepal at the age of 5, and grew up in Texas. I was always fascinated by physics and computers, and graduated from a STEM oriented high school (the School of Science and Engineering in Dallas, TX) in 2017. I then pursued my interest and graduated with a Bachelors of Science in Computer Science and Electrical Engineering and a second major in Physics from MIT (Massachusetts Institute of Technology) in 2021.

During this time, I worked on various clubs related to entrepeneurship (DeltaV and MIT II) and helped build a large part of a startup and smaller parts of other startups. I played an integral role in building Buddy, a 'mental health fitbit' my freshman summer (and throughout my freshman year) - I built a large part of the initial codebase and underlying systems.

Unfortunately, due to classes piling up Sophomore year, I was not able to continue my commitment to Buddy. I did continue participating in the MIT entrepeneurship scene, and worked with a few friends I met at DeltaV on a few other ideas, but personal situations made me choose to push for a more stable career path.

I interned at a company helping autistic children learn to work with emotions through AR tools, named Brain Power, for my sophomore externship and summer internship. I built systems that read high fidelity sensory data that allowed accurate information to be fed to these AR tools and systems.

I then went on to work at Amazon's Prime Video department for my junior year internship. I built high throughput systems to push through content generated via machine learning models. I also led the MIT UAV (Unmanned-Aerial-Vehicle) Club and was the webmaster for the ISA (International Students Association). I'm indebted to all the friends and professional relationships I made during this time.

I enjoyed learning about Reinforcement Learning (RL), and pursued a MEng (Master of Engineering) in Computer Science with a focus on RL and AI. I graduated with my masters degree in 2022, also from MIT, with grad classes focusing on systems, security, and AI. For my MEng, I am indebted to all those who I was fortunate enough to work with, from Professor Cathy Wu at MIT to Taylor Hogan and Luke Roberto at Cadence Design Systems, and a whole host more people.

During this time, I built a RL based feedback-loop system, inspired by AlphaGo, that was able to solve various printed circuit boards (PCBs) that were left unsolved. I focused on trying to make the feedback loop have a property of constant improvement on every loop in terms of numbers of actions taken to solve the board.

My graduate level classes, which were taken in between my senior year and my masters, involved security, AI, and systems. For example, I really enjoyed 6.858, where we rebuilt SUNDR, a K:V store that had fork consistency and was unable to know the contents of the data it stored. This is a precursor to Bitcoin. I really enjoyed 6.824, which was a distributed systems class. We built RAFT from scratch in this class in Go. 6.843 was a robotic manipulation class that I also enjoyed, and built a 'robot manipulation' version of my masters thesis on a much smaller scale. Another class I really enjoed was 6.481, which helped connect statistics and probability theory all the way through to Machine Learning and advanced hypothesis testing. I highly enjoyed a PSET where we 'discovered the higgs boson' through combinations of neural network predictions and P-Value testing. It really brought things together!

I now work at Google as a Software Engineer working on authentication flows.

Outside of work, I can be found tinkering on drones, making beats, learning astrophotography, exploring software ideas, and playing a range of sports (anything from MMA to Tennis, with powerlifting and Calisthenics as a crutch). When able, I also love to volunteer. I had my first batch of mentees this year at work, for example!

I'm very thankful to everyone who has helped me on my journey so far, from (especially) family (Shiva Kaphle, Gita Kaphle, Aaron Kaphle) and extended relatives to friends, co-workers, mentors, and mentees, and anyone else I've met along the way. I look forward to continuing to work towards building great projects.