Summary
Travis Barton is a Machine Learning Engineer based in San Jose with nine years of experience applying statistics and ML to real-world problems across ads, energy, and biotech domains. Currently on Meta's Feature Foundations team for Ads and running his own AI consulting practice, he blends product-facing engineering with strategic, project-based advisory work. His background spans time series, signal processing, unsupervised learning, NLP/LLMs, and automation—skills he used to build NLP tools at Pivotal and predictive grid-analytics at Sentient Energy. A skilled communicator and former instructor, he consistently turns complex models into clear insights and operational features for customers and stakeholders. He holds a master’s in statistics and is notable for pairing research-grade methods with practical tooling and visualization to validate features across tens of thousands of sensors.
10 years of coding experience