Jason Niu is an algorithm and deep learning engineer with a decade of experience building production ML systems and data warehouses across e-commerce and media domains. He currently applies deep learning at JD Group after research-focused work at Sohu.com and holds an MS in Computer Science (Machine Learning) from Georgia Tech. Comfortable across Python, C#, SQL and TensorFlow/Keras, he bridges research and engineering—shipping models and the data infrastructure that makes them useful in production. His background ranges from optoelectronics and hardware test automation to designing closed-loop LED systems and BI dashboards, giving him a rare combination of hands-on experimental know-how and scalable software delivery. Colleagues rely on him to translate complex algorithms into maintainable systems that improve operational visibility and speed decision-making.
11 years of coding experience
8 years of employment as a software developer
Master of Science in Computer Science, Machine Learning, Master of Science in Computer Science, Machine Learning at Georgia Institute of Technology
Bachelor, Engineering Physics(Electrical Option), Bachelor, Engineering Physics(Electrical Option) at The University of British Columbia
Contributions:67 pushes, 1 branch in 2 years 6 months
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