Haoran Fei is an algorithm developer at Hudson River Trading with nine years of experience building data-driven trading systems and ML-powered analytics. A Carnegie Mellon University alumnus, he earned a BS in Computer Science with a specialization in machine learning, blending rigorous theory with hands-on software engineering. His background spans software engineering at Google, data analytics at GE Transportation, and algorithm design at Fusionskye Technologies, delivering scalable ETL pipelines, time-series modeling, and enterprise ML solutions. At Hudson River Trading, he focuses on quantitative modeling and trading strategies, turning complex data into real-time, actionable insights. He has contributed to academia as a Teaching Assistant for Deep Reinforcement Learning and Control at CMU, bridging research and practice. Based in Jersey City, he combines academic depth with industry pragmatism to drive performance through data.
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Haoran Fei - Algo Developer at Hudson River Trading