Leigh Weston
Applied Scientist, Machine Learning at LiveKit
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolLeigh Weston is an applied scientist with a decade of experience translating research-grade machine learning into production systems, currently focused on recommendation and NLP problems at LiveKit after six years driving applied ML at Medium. With a PhD in Physics from the University of Sydney and postdoctoral stints at UCSB and Berkeley Lab, Leigh blends deep quantitative rigor with practical engineering to improve user-facing personalization and language models. He excels at bridging research and product, turning novel algorithms into scalable pipelines and A/B-tested features. Based in Berkeley, Leigh brings a rare combination of academic depth and hands-on deployment experience that helps teams move quickly from prototypes to robust, data-driven systems.
9 years of coding experience
10 years of employment as a software developer
The University of Sydney
Github Skills (19)
graph-embedding9
gnn8
extraction7
api7
structured-data7
scale6
graph6
large-scale6
database5
graph-neural-network5
nlp5
language-processing5
machine-learning5
materials-informatics4
natural-language-processing4
Programming languages (3)
Github contributions (5)
LeighWeston86/matstract
Feb 2018 - Jul 2018
Abstract extraction and analysis using natural language processing.
Contributions:37 pushes in 5 months
nlpextractionpythonlanguage-processingnltk
LeighWeston86/sequence-model-for-ner
Apr 2019 - Jul 2019
Contributions:6 commits, 10 pushes, 1 branch in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.