Mark Eremeev

Mark Eremeev is a Machine Learning Engineer who specializes in ML infrastructure, model optimization, and inference acceleration. Currently, at Cornami, Inc., Mark develops low-level software for a custom ML accelerator and integrates it with the PyTorch framework. Previously, Mark worked at companies like Meta, Uber, and Luminar Technologies, focusing on enhancing recommendation systems, optimizing computer vision models, and supporting productionization of deep learning models. Mark holds a Bachelor's degree in Electrical and Electronics Engineering and is pursuing a Master's degree in Physics at Novosibirsk State Technical University.