Presley Graham is an Algorithm Engineer based in New York with nine years of experience translating research into high-performance trading systems and machine learning infrastructure. He has cycled between quantitative trading firms and AI research labs, bringing strategies from prototype to production at Hudson River Trading and contributing to model quantization work on the PyTorch team during a Facebook internship. His recent stint at Anthropic adds hands-on experience with advanced ML systems, complementing a strong foundation in computer science from Texas A&M. Known for bridging research and engineering, Presley also has practical DevOps chops from building secure, containerized Postgres deployments at IBM. He repeatedly operates at the intersection of low-latency trading strategies and ML model optimization, making him adept at delivering robust, scalable systems under real-world constraints.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Texas A&M University
Contributions:4 pushes, 1 branch in 1 year 7 months
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Presley Graham - Algorithm Engineer at Hudson River Trading