Matt Rudary is an algorithm engineer with a PhD in computer science and over a decade of professional software and research experience, currently building trading algorithms at Hudson River Trading after multi-year engineering roles at Two Sigma and Google. He specializes in artificial intelligence and sensor fusion techniques, with early academic work that led to a SPIE publication on sparse sampling for sensor resource management. Comfortable bridging research and production, he has a track record of bringing advanced models from theory into low-latency, high-reliability systems for quantitative firms. Based in New York, he combines deep academic training with hands-on software engineering across large-scale, performance-critical environments. Less obvious: his career reflects a steady focus on applied AI in decision-making systems rather than purely exploratory research.
4 years of coding experience
18 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of Michigan
BS, Electrical Engineering, BS, Electrical Engineering at Rensselaer Polytechnic Institute
Apache Beam is a unified programming model for Batch and Streaming data processing.
Contributions:8 reviews, 2 commits, 2 PRs in 7 months
golangpythonstreaming-databeambatch
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Matt Rudary - Algorithm Engineer at Hudson River Trading