hi, i'm prashant!
I’m interested in how we can represent the physical world so models can reason about it and act more reliably in the real world.
Unpopular opinion – LLMs don't reason and are at the end of the day just next token predictors. Reasoning is philosophical and goes beyond mere definition, read more here.
I'm currently seeking research-oriented roles both in academia and industry around physical AI, reasoning models, generative models and GPU acceleration.
projects.
P/01
DIFFUSION / TRANSFORMERS
IMPLEMENTATION · PYTORCH
scratch-DiT
A pure PyTorch implementation of Diffusion Transformers.
P/02
100.cu
A HUNDRED DAYS / CUDALEARNING LOG · CUDA
100.cu
A hundred days of CUDA, documented in code.
P/03
●●●●●●? → !
A PUZZLE / A SOLUTIONPUZZLE · PYTHON
droppedaneuralnet
My solution to Jane Street's “dropped a neural net” puzzle.
blogs.
sound.
photography.
A selection of my photographs will go here.