Software Engineer · AI/ML · Cloud · Simulation
Building intelligent systems that survive contact with the real world.
I'm a Computer Science student at the University of Virginia interested in building software where intelligent systems meet real-world constraints.
My work spans cloud infrastructure, reinforcement learning, data engineering, full-stack systems, and simulation.
Leading development of race-strategy simulation software that compares vehicle physics, solar input, weather forecasts, battery state, and competing speed-control strategies.
| Focus | Project | Demonstrates |
|---|---|---|
| Simulation / Engineering | Solar Car Simulator | Python simulation, control strategies, energy modeling, leadership |
| Full-Stack Systems | Mosaic | React, Express, MySQL, systems integration |
| Reinforcement Learning | Q-Learning Projects | Q-Learning, exploration, policy learning |
| Data Engineering | Data Science Capstone | PySpark, Delta Lake, streaming, lakehouse architecture |
| Web Applications | ClubReviewer | Django, auth, messaging, PostgreSQL, S3 |
| Java / App Design | CourseReview | Java, SQL, validation, collaborative development |
AWS · Data Engineering · Backend Systems · RAG
Built cloud and backend systems spanning a 5.2M-record data pipeline, semantic retrieval for an AI agent, and loan-data APIs.
Python · PyTorch · Deep RL · Simulation
Extended an emergency-response simulation and trained multi-agent RL systems coordinating teams of 20+ agents.
React · Tailwind · AWS S3 · SNS · API Gateway
Rebuilt the company web experience in React and developed AWS workflows for resume intake and user-data processing.
Python · Java · JavaScript · SQL · C · C++
PyTorch · TensorFlow · Spring Boot · React · Django · Pandas · NumPy
AWS · Docker · Terraform · PostgreSQL · pgvector