Shane Segal

I’m a Machine Learning Engineer based out of Toronto, Canada.

I specialize in research engineering - right at the forefront of cutting edge ideas and solid, practical engineering. I work closely with research scientists, taking the latest ideas from literature (along with a dash of my own contributions) and making them production ready.

I’m currently Staff Machine Learning Engineer at Perceive.io.

At Perceive, I develop novel schemes for training large language models (LLMs) under extreme compression. We make your LLM work faster, better, and with fewer bits than you think is possible thanks to our unique blend of hardware and software.

Before that, I was a Senior AI Model Development Engineer at Mythic AI. At Mythic, I designed and trained novel vision models for our analog compute chips.