Devised a method to bound numerical error in neural ODE predictions
Implemented ODE solvers (Euler, Midpoint, Ralston, + RK4) in C++ and neural
ODEs, a class of infinite-depth neural networks, in Python
Reimplemented in Julia for performance gains and semantic expressivity
Tiny Shell
April 2023 — May 2023 · 🌊
Implemented a minimal flavor of the Bourne shell in C and C++, including signal
handling, forked jobs, and a trace-driven shell driver
Socialpedia
August 2024 · ☕️ ☁️
Fueling Wikipedia deep-dives with a simple social media app embedded in a browser extension, connect your Wikimedia account and share Wikipedia snippets
Java Spring Boot on Google Cloud with a WebExtensions API frontend
Inflectional Cognition in Large Language Models
January 2024 — Present · 🐍 🗣
Inspecting large language model behavior to align with human inflection behavior
Employed models from BERT to GPT-2, contributing to open-source model hosts
Inner Product Methods in Neural Networks
April 2023 – Present · 🐍 🤖 🧮
Investigated non-Euclidean inner products between neural layers for introspection
Used numerical computation and matrix techniques to elucidate a Python model
Led a team of five in high school Computing for Social Good program, producing a
sentiment-aware micro-journaling app for continuous mental health monitoring
Trained and deployed CNN-LSTM dimensional sentiment model with TensorFlow
Designed and built mobile app with Vue.js on Capacitor with embedded AI model
SquadSync
April 2023 – May 2023 · 🏵 🥞
Led a team of five engineers building a social platform for in-person connections
Deployed hybrid native React Native app with a TypeScript Node backend