Sophomore @ WashU — joint Business + Computer Science.
I am passionate about data analytics and technology. I believe that their intersection advances society through solving global issues, optimizing individuals' lifestyles, and providing meaningful insights.
A data platform for prediction markets. It pulls in 22M+ trades across 400K+ markets and stores them so I can test trading ideas against real history instead of guessing.
My first idea for an edge didn't hold up when I tested it, so I moved on. The next one did — a pricing gap worth about 5.8¢ per $1 contract, which held up across 21K simulated trades. One of the 900+ automated tests caught a data bug before it could skew results.
A small language model, built and trained from scratch in PyTorch on 1.35B tokens — no pre-built model, just the underlying pieces (attention, tokenizing, training loop) put together by hand.
I then pulled 96K+ research papers and fine-tuned the model on them, improving its accuracy on that material by 32.6% — at the cost of being a bit worse at everyday language, which felt worth being honest about.
Radio project — details coming soon.
~$10K in builds for classmates, ~$2K profit — plus the Linux server that runs Polyedge.
A fellowship where I talked to users and researched how to make AI tools easier to use.
Placed in the top 5% presenting to judges from Olin Business School.
BUCS joint program (2% acceptance rate) · 3.7 GPA · Dean's List ×2 · $30K merit scholarship · 2nd place, WashU Startup Pitch Competition ($1,250).
Analyzed CDC public-health data with Dr. Yusen Zhai to study how social factors influence mental-health outcomes.
Taught Java fundamentals, debugging, and OOP to 20+ students as an interim educator; led labs and reviewed assignments.
Open to internships, research, and interesting side projects.