Leigh Weston
Applied Scientist, Machine Learning at LiveKit
Berkeley, California, United States
Summary
🤩
Rockstar🎓
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.
10 years of coding experience
10 years of employment as a software developer
The University of Sydney
Github Skills (9)
voice10
ai10
openai9
ai-agent9
api7
graph6
database6
natural-language-processing4
knowledge-graph3
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
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