Summary
Ben Burford is a founder and CEO with over a decade building production-grade deep learning systems and scalable ML pipelines from the Bay Area. At Scaled Action he leads development of custom TensorFlow ops, Spark MLlib extensions, and reactive Fast Data architectures integrating Akka, Kafka, Spark and Cassandra for Mesosphere/DCOS deployments. His background includes satellite and UAV remote sensing—bringing practical experience in processing large Earth-observation datasets from roles at the Japanese Space Agency/RESTEC and ISTS Americas. Technically fluent in Python, C++, Scala and functional Reactive patterns, he bridges research-grade models and production engineering. Ben pairs an M.S. in Electrical Engineering with Stanford coursework in machine learning, enabling a rare combination of academic rigor and field-proven systems design. Colleagues describe him as an operator who prefers shipping custom low-level solutions (e.g., ROI-Pooling in C++) when off-the-shelf tools won’t scale.
11 years of coding experience
14 years of employment as a software developer
M.S., Electrical Engineering, M.S., Electrical Engineering at Penn State University
B.S., Electrical Engineering, B.S., Electrical Engineering at Santa Clara University
Coursework leading to an M.S.E.E. in Machine Learning, Coursework leading to an M.S.E.E. in Machine Learning at Stanford University
Japanese