Summary
Ben Harris is an Applied AI Engineer in San Francisco with 14 years of experience building and productionizing scalable data pipelines and ML systems across finance, healthcare, retail, and cloud platforms. He has designed end-to-end solutions—from data collection and labeling to sequence-to-sequence models, embeddings, and serving infrastructure on AWS SageMaker—while mentoring teams and leading technical strategy. His background includes hands-on roles at Pulley, Notable, and AWS and leadership work at Change Healthcare and Afresh, where he balanced individual contributions with OKR-driven team guidance. Ben is pragmatic about metrics and experiment design, often translating messy, high-volume data (tens of millions of records) into deployable models and automated tooling. An engineer who prefers building reliable production systems over research for its own sake, he combines deep curiosity with a track record of turning complex data flows into operational value.
14 years of coding experience
14 years of employment as a software developer