Sidharth Kannan
I am a Research Engineer at ChipAgents, working on building more efficient agents for electronic design automation. Previously, I studied Physics and Computer Science at UC Santa Barbara.
Research and writing
Selected work
Graph Neural Networks for Interferometer Simulations
Graph neural network surrogates that reproduce LIGO interferometer simulations up to 815 times faster, supporting more efficient instrumentation design.
CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow Matching
A flow-matching framework that compresses cosmological field simulations into compact, interpretable representations for reconstruction, generation, and parameter inference.
Build-Your-Own-LM: A Journey into Language Modeling
A from-scratch exploration of tokenization, transformer architecture, caching, quantization, and modern language-model components.