Colin Brown is an applied machine learning engineer with nine years of software experience, currently a Member of Technical Staff in the New York City area. He blends practical ML research and production engineering—having improved object detection performance on real-world car detection using synthetic data and built scalable data pipelines at MongoDB. Comfortable in ambiguous, cross-functional settings, he has shipped end-to-end systems from full-stack web apps to distributed metric collectors and gRPC-backed telemetry. He also brings teaching and program leadership experience from Columbia and hackNY, where he designed processes that scaled reviewer workflows and managed developer teams. Colin’s background suggests a knack for turning experimental ML insights into reliable, deployable infrastructure that bridges research and product.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University in the City of New York
Contributions:63 PRs, 71 pushes, 44 branches in 1 year 5 months
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