Bio: Undergraduate student in AI Systems Laboratory, the Faculty of Environment and Information Studies at Keio University, majoring in Computer Science.
What I'm Working On:
- Caten A deep learning compiler built from scratch in Common Lisp, featuring RISC-style IR and a polyhedral compiler backend for auto-generated kernel optimization.
- (@tokyo) Deep Learning Compiler, Quantization for CV Models, Reinforcement Learning w/ Mixture of Experts, including communication optimization, a bit of RTL design.
- (@sf) LLM Inference Optimization (e.g.: Speculative decoding, quantization, etc)
Awards and Honors
- U22 Programming Contest METI Minister’s award.
- Sōkan no Susume Scholarship, Keio University.
Contact Me: ichndm@gmail.com | yuma.oda@keio.jp
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