This website is not always up to date, but my Resume usually is.
I use Python, C, and Google Apps Script most often for work and school.
I have read books like Deep Learning with Python, Introduction to Reinforcement Learning (Sutton and Barto), and An Introduction to Information Theory. I enjoy experimenting with RL problems and hope to eventually apply what I learn to space travel, space mining, and planetary development.
PHP, MySQL, Bash, Objective-C, C++, C#, Eclipse, IntelliJ IDEA, PyCharm, Visual Studio, VS Code, Atom, Juptyper Notebook(s), Google Colab, XCode, MAMP, SQLPro, PHPMyAdmin, Unity, GDrive Scripting Environment, Mongo DB, discord.js, discord.py, Swift, Clasp, NPM,... and a bunch of others :)
Organized the first global scale Prompt Hacking competition (Paper), collected 600K+ adversarial prompts and published the first ontology of Prompt Hacking. Raised 40K in sponsorship from OpenAI, Preamble, Scale AI, Stability AI, HuggingFace, and 7 other companies. Accepted to EMNLP.
I used Bootstrap and Jekyll to build this website from scratch.
I worked with a team of undergrads to develop a semantic segmentation model for the "Synthetic-to-Real Domain Adaptation for Autonomous Driving" challenge. This was a good DL learning experience and our paper was accepted into the SMC Data Challenge 2021, but our results were realistically below industry standard. (Codebase) (Paper)
As an extension to my last extension of the Discord bot, I implemented a bunch of new features. See my change report here.
An extension to recent Diplomacy work (ACL Paper), I worked on a Discord bot which facilitates player communication. I implemented a lie detection model to display predictions to players (model created by Denis Peskov). My change report can be seen here.
I was hired to write software to automate the process of writing certain content on cards with an Axidraw. I created a UI from scratch with Bootstrap, used Electron to make it into an 'app', wrote a backend with Python+pyaxidraw, and compiled the app with Pyinstaller.
A website built for a NLP project to collect data from users answering analogy questions while being provided with Wikipedia autocomplete suggestions. It makes use of the Wikipedia autocomplete API.
Dither is a 2D puzzle game made for ENGL290, one of my UMD courses. You play as a computer processor moving around to solve logical puzzles.
A pretty basic responsive website I built for TRS.
A pretty basic responsive website I built for myself. I recently switched to Jekyll for content management instead of a Python script I wrote which produced HTML.
A draft of a video describing the training process of a simple (Pytorch) deep learning agent in Microsoft's Project Malmo I created for some advisors (Christopher Kok, Ignacio Raposo) from Chronic Coder Academy over the summer after highschool After reading Intro to RL by Sutton and Barto and some of Deep RL Hands On I wanted to apply RL to a simple situation in project Malmo. I used this videomaking process to learn Blender and Manim (3b1b's animation library). Project Malmo tweeted it here.
A backend/business logic codebase of PHP functions for my highschool 'natural plant teaching gardens' website. Using Composer and Google Sheets API, data stored in the Sheet is accessed and displayed in the site. Users can search through plants using a simple custom engine relying on Levenstein word distances. Curl search protocol is used to scrape and save images of new plants added to the database. The frontend is still under development, but you can see a functional demo here: demo.
A simple top down shooter game I wrote in XCode. Music and art made in Gravit Designer and Garage Band. Unfortunately, it is no longer on the App Store :(. Some of the textures were generated by scripts I wrote in Java.