Jianing Fu is a software engineer with eight years of experience blending research and production work at the intersection of vision, speech, and neural interfaces. Currently at Meta, Jianing has contributed as a research engineer on RL and AI speech/EMG neural interface projects and moved into machine learning engineering within Media Foundation Signals. A Georgia Tech CS graduate (3.97 GPA) and incoming UC Berkeley MEng EECS student focused on vision computing and graphics, Jianing pairs strong academic rigor with hands-on experience in PyTorch ecosystem work from a Facebook internship. Past research roles at Emory and multiple university labs reflect a habit of translating novel research into applied systems. Colleagues can expect a technically deep engineer comfortable moving between low-level research prototypes and scalable ML-enabled products.
8 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng Electrical Engineering and Computer Science, Master of Engineering - MEng Electrical Engineering and Computer Science at University of California, Berkeley
High School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at Lincoln School
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Georgia Institute of Technology
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