I’m a junior at MIT majoring in Electrical Engineering with Computing (6-5) with plans to double major in Mathematics (18). My interests are varied and continue to expand, but mostly revolve around computer systems and the infrastructure needed to make them more efficient and resilient. With the AI boom going wild, I guess that means LLMs and GPUs are on the table :)
This fall and spring, I am researching accurate LLM workload profiling with Saman Amarasinghe, Manya Ghobadi, and Jeremy Carin after a 7-month stint as a platform engineer at Systalyze taming workloads with agents and crying at distributed system bugs. It is my hope that I will better understand whether a systems PhD is right for me after this experience.
Certain times of the year get dominated by a new deranged project and my unstoppable obsession with completing it. Most recently I used compiler options and monkey patching to speed up Python by >10% with public benchmarks to back it up. I also built Mimux, my own from-scratch Linux distribution, and turned the lessons I gained from that into my 2-week IAP course, 6.S913, where students built their own mini Linux from scratch.
During my high school years, I was an Olympiad participant hacking computers and developing web apps on the side when my parents weren’t watching :) In 2023, I placed 23rd overall in the USAMO and attended MOP, where I met many of the friends with whom I have been attending MIT. Some projects I had developed for the contest math community then unexpectedly turned into a first job at MathDash during my senior year of high school, at which point my career took a sharp turn toward startups.
Before all that (back to middle school!), I was a hardcore épée fencing main with a dream to represent the US at the Cadet World Championships; in late 2019, I reached first in my age group in the US. Alas, the COVID-19 pandemic hit, all competitions and training came to a halt, and I found better and more fun things to do with that time.