01
Neuromorphic Sign Recognition
A neuromorphic vision system that recognizes ASL letters from event-camera data with a convolutional spiking neural network.
- PyTorch
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Computer engineering · Machine learning
My work focuses on applied machine learning, with a particular interest in AI-generated content detection, neuromorphic vision, and compilers.
I enjoy understanding why a model behaves the way it does, then turning that understanding into experiments and tools that are useful outside a notebook.
See what I have been working onSelected work
01
A neuromorphic vision system that recognizes ASL letters from event-camera data with a convolutional spiking neural network.
02
A terminal application that makes AI-generated text detection practical on everyday consumer hardware.
03
A system for detecting machine-generated code across programming languages, model families, and code domains.
04
An Othello engine used to explore and compare several parallel Monte Carlo Tree Search techniques.
05
A compiler that translates MoonBit to LLVM IR, written in Rust with a grammar built using LALRPOP.
06
My bachelor’s thesis: a software architecture for generating and managing reports in a distributed system.
07
An interactive web app for finding shortest paths through weighted, directed graphs and seeing each step of the process.