2022 – 2026
BS Computer Science
2022 – 2026
BS Computer Science
2018 – 2022
Artificial Intelligence, Computer Vision, Web/Mobile Development, Data Structures, Macro/Microeconomics, Multivariable Calculus
Developing natural language processing techniques to scale up the world's best teachers. Using large language models and reinforcement learning with human feedback.
Working to develop a solar-powered car. Recently, I contributed to the development of a regenerative braking system to improve the car's battery efficiency.
Optimizing the training of neuroevolution potentials (NEPs) to predict properties of complex alloys. Using GPUMD and UVA's Rivanna cluster.
Here, the goal is to use spatially-resolved transcriptomics to improve the diagnosis accuracy of cancer metastasis.
What I did specifically:
For student research at TJ, I made a "sound camera" with a Raspberry Pi, an embedded webcam, and a microphone array. This used a beamforming algorithm. If you want to read more about how I made it, see here!
My primary research goal was to measure the efficiency of various laser crystals by detecting the amount and wavelengths of emitted light from each crystal.
What I did specifically:
Project Caelus is aiming to be the first high school team to create a liquid-fueled rocket. I wrote C++ code to interface between Arduino and remote ground control software and integrate low-level sensor data in a read-control-actuate loop. I also helped optimize some printed circuit boards with KiCAD. The software was used to control valves during cold flow tests.
From April 2020 to April 2021, I volunteered at a computer science tutoring nonprofit called Codefy. I taught courses in Python and web development, and hosted workshops where students learned the fundamentals of machine learning, detected and classified traffic signs using computer vision, and developed games. I also served as a mentor, individually helping students learn Python, as well as leading courses in website development. I also developed an enrollment system that served thousands of students.
As a member of the student government, I rebuilt the main website with Typescript and React and built a website where students can share study guides. I also choreographed a hiphop dances for my year and organized other homecoming events.
This photo is from 2019. We had a lot of fast people in our year, and our team of eight won fastest in the nation for solving 25 Rubik's Cubes in 45 seconds!
Some people from the track team and I, after going to regionals in Spring of 2021.