Stuart Axelbrooke

Senior Machine Learning Engineer with 12 years experience including Amazon and Startups, applying Machine Learning, Cloud, Kubernetes, and Big Data technologies to deliver > $100M in annual revenue increases and significant boosts to user retention.

Seeking Senior/Staff Machine Learning Engineer positions leading tech, growing/mentoring junior and mid-level engineers, and delivering high-impact solutions and architectures in ambiguous problem spaces.

News

Should We Like Notebooks?

Language Models and Transformers

Subword Tokenization - Handling Misspellings and Multilingual Data

Subword Tokenization

Featured Projects

PointScrape - Web Datasets as a Service

PointScrape allows you to easily and efficiently build and update large datasets from public data on the web. It enables pretraining of models for low-data scenarios, and fine-tuning of LLMs to a specific domain.

Point

Scrape

Taggit - Auto Tagging as a Service

With Taggit's topic auto tagging, you can automatically detect and count any topic you can tag in text. By auto tagging text topics, you can lower feedback categorization costs, stack rank problems by impact, and monitor known problems and ensure resolution.

Phrase - Blazing Fastest Phrase Extraction

Phrase is a CLI tool and server for learning significant phrase/term models from unlabeled text data, and efficiently identifying those phrases in new text. It uses Rust, dataset partitioning, and mutual information to learn the highest quality phrases quickly.

NLSea - Seattle Natural Language Processing Meetup

NLSea is a special interest group of Puget Sound Python focused on application of natural language processing (NLP). The event is for NLP practitioners as well as those wanting to get into the field. We cover modern applications of NLP, including project briefs as well as recent important research papers.