Trevor Scott
Independent Researcher at Salesforce
United States
Summary
👤
Senior🎓
Top SchoolTrevor Scott is an independent researcher and seasoned software leader with a decade of experience building scalable ML and observability systems at companies like Salesforce and Heroku. He led enterprise-wide observability initiatives and designed Event Log Objects, a petabyte-scale, multi-tenant log analytics platform now serving 20,000+ customers and driving significant ACV growth. Trevor combines product leadership and hands-on engineering—prototyping OTel-based tracing, agent-driven security features, and ML-driven anomaly detection—while previously implementing production recommendation engines and real-time pipelines. Currently his research bridges quantum information theory and geometry with practical ML: he built end-to-end pipelines for exploring the string theory landscape and proposed a novel topological framework linking entanglement structure to experiential states. He is equally fluent in shipping production-ready cloud platforms and exploring foundational theory, bringing a rare blend of product impact and mathematical curiosity. Based in the United States, he holds BA degrees in Computer Science and Mathematics from UC Santa Cruz.
10 years of coding experience
5 years of employment as a software developer
University of California Santa Cruz
Github Skills (51)
image-recognition10
salesforce-einstein10
heroku10
einstein10
nodejs9
create-react-app9
deep-learning8
producer8
predictive8
apache-kafka6
kafka6
librdkafka6
java6
oclif6
salesforce5
Programming languages (7)
Github contributions (5)
heroku/pvs-node
Nov 2016 - Jul 2017
Contributions:65 commits, 12 PRs, 49 pushes in 8 months
service-demovisionnode-jssalesforcepredictive
trevorscott/edm-ui
Oct 2018 - Dec 2018
Contributions:1 release, 41 commits, 2 pushes in 1 month
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