Leo Simmons is a software engineer in San Francisco with 10 years of experience building distributed systems, large-scale web scrapers, and productionized machine learning services. He has shipped full-stack products and microservice backends at startups and enterprises, using Python, Go, Kubernetes, Docker, and ML frameworks like Keras and PyTorch. Notable work includes architecting a distributed scraping platform in AWS, building ML-based search and neural models for residential real estate applications, and operating access-management services at scale. His scientific training in biochemistry and hands-on research background inform a data-driven, experimental approach to engineering and feature design. He mentors junior engineers and blends rapid prototyping with production reliability to move models and systems into real-world use. Personal projects and resume are published on his website, reflecting an interest in reproducible ML tooling and pragmatic automation.
Contributions:148 commits, 2 PRs, 122 pushes in 2 months
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