Hi, I'm Andrew. I graduated from Cornell in 2021 and worked in software engineering & quantum computing before starting Comm2.
Projects
reelers.io is a multiplayer io game I built on top of an html canvas & websockets. It can take a minute or two to boot, but it's pretty fun, especially with friends. Here's a clip of it on github.
I wanted to write a 3D renderer without using any graphics pipelines, so I came up with some math and wrote 3DTest.- custom-markdown parses a text file and renders the result in React. I wrote it as a simpler alternative to MDX and TipTap so that I could fully customize Markdown's syntax.
misc projects: At some point I made a blocky physics game in Java, and an escape-the-room game in flash (back in high school when it was still around). I also animate things for fun sometimes.
New York, NY
I left APL to co-found Comm2. Our mission is to let technical people learn anything quickly: crypto protocols, ML architectures, quantum computing, etc. Humans are theoretically "generally intelligent" (the GI in AGI), but in practice we're very limited by poor technical communication. Our main focus has been DeriveIt, which prepares students for interviews at FAANG companies much faster. We've received praise from dozens of users, and we're officially used in classes at top universities. I built our frontend/backend from scratch, and I also do marketing, speak with customers, etc.
Laurel, MD
At Johns Hopkins APL I led a project to estimate the resources needed to run a quantum computer, collaborating with 5 postdocs and building a production-quality Python codebase. I also worked to assign confidence scores to computer systems using statistics & logic, and my work on Beta distributions was published in a journal paper.
Remote
At Columbia University I created a Mathematica tool to simulate & visualize wavefunctions and their energy bands near defects.
Ithaca, NY
Bachelor in Computer Science from Cornell University, with minors in physics and math. I worked on parallel computing with Prof. Adrian Sampson (CUDA, Hammerblade) and became interested in using information theory to predict an algorithm's minimum runtime. I also worked with Prof. McMahon on quantum embeddings for use in Machine Learning.
I'm highly adaptable, but I'm very interested in working on distributed systems right now. You can find my full CV here.