B.S CS, B.S. Mathematics @ University of Maryland, College Park
2022 — 2025
I'm pursuing a dual-degree in computer science and applied mathematics here! I also plan on graduating in three years, and I'm a junior by credit standing.
^ That’s Pops and I kayaking in sunny Islamorada, Florida
I’m a computer scientist on the rise!
Currently I’m a second year at the University of Maryland, and I love learning about computer science at all scales, from low-level compilers all the way to large distributed systems. I’m also fascinated by how software has challenged what can and cannot be accomplished, and I aspire to engineer systems that keep that pattern alive.
In my free time, I often hike New Hampshire’s 4000-footers, practice astrophotography, sail, and backcountry camp—I’m a sucker for the outdoors. I’m currently reading: The Kite Runner
Python
90%
C++
90%
Java
90%
C/MIPS/x86
80%
JS/TS/MERN
70%
Bash
60%
Competitive Programming
90%
GNU/Linux
90%
Git
90%
AWS
85%
Docker
80%
OpenCV
80%
I'm pursuing a dual-degree in computer science and applied mathematics here! I also plan on graduating in three years, and I'm a junior by credit standing.
As a software engineering intern at JHU APL (with top-secret clearance), I worked on optimizing aerodynamic simulations. I used Python (and its various libraries, e.g., scikit-learn, scipy, matplotlib, seaborn, pandas, etc.) to write production-quality programs that efficiently approximated complex physical simulations (like computational fluid dynamics). To supplement these programs, I created beautiful visualizations for the topic experts to interpret. I also used performant C++ to implement various algorithms from bleeding-edge research papers in the field.
As an software engineer at Hack4Impact, I created interactive web apps using TypeScript and the MERN stack. I primarily worked in teams of 6+ using the Agile process in two-week sprints, and I also met with nonprofit clients to architect project specifications. Ultimately, my contributions to site features, UI/UX design and better ease-of-access significantly increased organic traffic to client websites.
I was one of 10 students selected to UMD’s premier investment group, Smith Investment Fund (SIF). As a software engineer and quantitative analyst, I researched and implemented signal-based and alt-data alphas using scikit-learn for SIF’s $15,000+ AUM. I also developed a minute-scale live trading platform, including live backtesting, brokered through Alpaca Securities. Currently, I am rewriting parts of the code base in modern, Google-styled C++20 for faster data throughput and concurrent trading.
As an ML/AI engineering intern at NonExomics, I was responsible for engineering complex predictive models that took in swathes of disconnected genetic information and churned out accurate, medical-industry-grade disease diagnoses. I used Python (alongside PyTorch, scikit-learn, and other ML/DL and data science libraries) to write high-performance code running on AWS Ubuntu instances. Among my projects were a cancer-prediction algorithm based on VCF (variant call format) data and a hereditary disease indicator based on previously unexplored regions of the human genome.