Hi!
I'm Noah! I like trying to understand the bits of the world that initially seem like magic, and to build useful tools with this knowledge. Historically I've been interested in:
- Computers. I got hooked on coding as a kid from the dopamine hits of learning and the ability to build cool stuff. This led me to study Computer Science at Brown University, where I've been able to meet wonderful people and learn all sorts of neat things.
- People. The human mind is super interesting and I love reading psych books and attempting to apply the ideas pragmatically.
Over the past few years, I've become interested in understanding Neural Networks. I think it's kind of bonkers that we have models that are performing sophisticated algorithms and the possibility of reverse engineering them sounds incredible (and probably useful too).
I started a blog recently to think better thoughts and develop stronger opinions. I hope to improve at the thinking bit and the writing bit in time.
Other stuff:
- I interned at Netflix over the summer working on automating TV UI navigation using VLMs. For more info on what other stuff I've done in the past, my resume is available.
- I'm using beeminder to keep me accountable to write regularly. You can see my progress here.
- You can reach me at noah_rousell@brown.edu!
Recent Projects
See resume for others
Dimspector: PyTorch Static Shape Inference
A devtool that statically infers the shape of PyTorch tensors to provide inlay hints and catch shape mismatches immediately. Still in development.
Verilog CPU
An 8-bit computer (with accompanying basic assembler) written from the ground up in verilog. Currently in the process of putting this onto an FPGA and hooking up some hardware!
ATA
ATA is a student-facing chatbot that acts as a tutor I built with a few friends for use in Brown courses. Professors drop in their course materials and get course analytics; students can then chat with ATA about lectures and assignments. ATA is university-sanctioned and in use by hundreds of students across multiple courses at Brown. We are lucky to be supported by funding from B* and API credits from OpenAI. ATA was also featured in the 2025 edition of Brown CS's magazine, Conduit.