A little about me

For starters, I'm a Computer Science and Math double major at the College of William & Mary, Class of 2027.

I absolutely love anything related to low-level systems and math. These two subjects often live as distant cousins, but they prove to be totally paramount to each other. I seek to understand them and their intersection, and how they can be applied to improve the world.

Also, I'm pursuing rigorous projects to hone my skills to the max. I believe the only way to know you have learned something is to do it, and intelligent determination (with a certain nonzero amount of stubbornness) is the only way to get you there. Feel free to check out my work experience and projects below.

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Software Engineer Intern

@ DisinfoLab William & Mary

Working with a team of trained software engineers to fight disinformation in the global political landscape. Co-authored a research report analyzing public sentiment trends, published in The Diplomatic Courier. Currently invested in helping develop Fact Forecast, a fact-checked news platform.

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SysOps Intern

@ Nova.org

Working to support deployment of open-source alternatives to mainstream cloud platforms at the private internet service provider Nova.org. Gaining experience in Linux system administration, networking services, and SysOps practices. Currently assisting with integration of cPanel and related tools into existing virtual machine to improve service management.

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And these are some of my totally awesome personal projects.

Have a look, I'm sure something will pique your interest.

Graph Theoretic Routing Engine

I developed a Waze-inspired routing engine in C++ using Dijkstra's algorithm, the A* algorithm, and a custom multithreaded A* algorithm I created. I containerized this project with docker, and deployed it using Flask API.

Matroid Theory Implementation

I implemented in C++ multiple forms of the matroid (an algebraic structure from combinatorial optimization) and showed empirically that matroids can solve many seemingly unrelated problems.

Directed Study in High Performance Computing

Researching various topics in high performance computing such as SIMD parallel instructions, optimization on CPU and GPU architectures, parallel and distributed computing, multi-threaded algorithms, memory and cache cache-efficient code optimizations in C.

Youtube Judicial Comment Analysis

In Python I developed tools to gather (using the Youtube API) and clean Youtube comment data. Then I constructed a sentiment analysis tool that uses bert-base-cased huggingface transformer model. Analysis was published in The Diplomatic Courier.

Fact Forecast: a fact-checked news platform.

Contributing to the in-progres development of Fact Forecast. Created multiple RSS feed gatherers to help data collection. Setting up EK (Elasticsearch-Kibana) stack utilities to aid the backend development.

"Computer Science is no more about computers than astronomy is about telescopes."

- Edsger Dijkstra