Dylan Lim

hi! i'm a bs/ms student at stanford studying computer science.

i work on ml systems. some recent work includes whole model kernel fusion ( low latency , high throughput ) and writing performant multi-gpu communication primitives.

prior work

to infinity and beyond, thunderkittens now on nvidia vera rubin (together ai 2026)
we bought the whole gpu, so we're going to use the whole gpu (hazy research 2025)
look ma, no bubbles! designing low-latency megakernels (hazy research 2025)
one kernel for all your gpus (hazy research 2025)
layoutvlm: 3d scene generation (cvpr 2025)
flexflow: distributed dnn compiler (stanford 2024-25)

things i built

shard — distributed training system for local compute
flexgraph — ml model architecture generation for compiler evaluation

industry

together ai — megakernels for everyone (winter 2025)
jump trading — core strategies (summer 2025)
valuenex — 10× faster graph algorithms (spring 2024)
candid — rag pipelines & ml infrastructure (2023-24)