Thomas Verelst

Thomas Verelst

Staff Machine Learning Engineer @ Axelera AI

PhD (KU Leuven, Belgium) in computer vision and deep learning. Currently working on quantization, inference optimization and finetuning of LLMs and multi-modal Gen AI models.

LLM inference · quantization · KV caching · Mixture of Experts · tensor parallellism · dynamic neural networks · torch compile · CUDA kernels

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