━━ Top 3 Projects

Personal Website

The site you're exploring right now! Built from the ground up during summer 2025, this project served as a side project to refine my front-end development skills. This platform is a space to showcase some of my work and personal experiences. Every element—from layout to styling—was designed and coded by me as part of the learning process.

HTML CSS JavaScript

GitHub >

Veritas & Varieties

A final project for Harvard's CS50 course, Veritas & Varieties is a web application designed to simplify and automate event discovery across the Greater Boston area. Our goal is to provide a website for users to discover and plan their participation in local events without manually going through newsletters or other resources.

HTML CSS Python SQL

GitHub >

Orbit Determination

Developed as part of the 2023 Summer Science Program, this project focused on determining the orbit of Near-Earth Asteroid 2002 MQ3 using real astronomical observations. Working with teammates, I applied numerical methods and orbital mechanics to process telescope data, write trajectory-fitting scripts in Python, and refine orbital parameters.

Python

Paper >

━━ Work Experiences

CS 50 Teaching Fellow

Coming Soon :)

Fall 2025

Lawrence Livermore National Laboratory

I worked as a Computing Intern at Lawrence Livermore National Laboratory, contributing to Sina, an LLNL codebase for data querying, storage, and visualization. As part of the Livermore Lab Foundation Fellowship, I designed circuits and logic gates using BJT transistors and built a basic 16-bit CPU, ALU, and program counter in Hardware Design Language.

Summer 2025

Laboratory for Innovation Science at Harvard

I was a research assistant for LISH, which is under Harvard Business School. I analyzed how accelerator programs assess startups by reviewing and categorizing longitudinal judge feedback. Using this analysis, we then annotated and structured feedback data to fine-tune a large language model (LLM) for research on startup evaluation frameworks.

Spring 2025

Pacific Northwest National Laboratory

As a software and analytics intern, I identified a gap in the final step of internal paper publishing where meta-repositories, a single point of access to find all components of a paper, were often overlooked. To help solve this problem, I developed "autometa," a Python-based LLM tool to auto-generate meta-repositories for reproducibility.

Summer 2023

GitHub ›

Pacific Northwest National Laboratory

My first summer at PNNL, I worked to analyze CERF data (Capacity Expansion Regional Feasibility) to provide insights on power plant locations. Then, using Python, Plotly, and Dash, I built an interactive visual analytics app, providing researchers an ongoing resource.

Summer 2022

GitHub ›