# Jeremy Baron

URL: https://levystreet.com/people/jeremy-baron/
Updated: 2026-10-19

Jeremy Baron is Lead ML Engineer at Levy Street, the Wellington AI engineering company. Lead ML engineer. Ten years in AI algorithms, a former quantitative.

Jeremy Baron leads machine-learning engineering at Levy Street. Jeremy works on model evaluation, research systems and the parts of client projects where off-the-shelf approaches are not good enough.

## Background

Jeremy has more than ten years of experience in AI algorithms and previously worked as an engineer at a quantitative hedge fund. Jeremy wrote [TorchWindow](/research/open-source/), a Python library that displays PyTorch tensors straight from GPU memory.

## Research

Jeremy is the author of [Tiny Shakespeare CLM](/research/code-language-models/), a character-level language model written entirely as Python and improved by an AI agent editing its code, which cut training-set bits per character from 4.77 to 2.31 across 463 commits. The approach, which the project calls Code Policy Optimization, is described in [Code Policy Models](/research/code-policy-models/). Jeremy is a joint first author of [GTM-Bench](/portfolio/gtm-bench/).

Published by Levy Street (https://levystreet.com), Wellington, New Zealand.