Yunqi Zhang is a software engineer in New York with 13 years of experience specializing in distributed systems, data center architecture, machine learning, and natural language processing. Currently at Facebook, he has a strong research-to-production trajectory that includes a PhD-level background and research internships at Microsoft Research, IBM, and Facebook. He has held technical leadership roles at Clinc, including CIO and team lead, where he bridged research, product, and operations. His open-source contributions include back-end audio processing work for an intelligent personal assistant (claritylab/lucida), showing practical expertise in audio data pipelines and real-time recording. Yunqi blends deep academic training with hands-on systems engineering, often translating ML and NLP research into scalable services. Colleagues rely on him for designing resilient infrastructure that supports complex AI workloads.
13 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at UCSD
Master’s Degree, Computer Science and Engineering, Master’s Degree, Computer Science and Engineering at University of Michigan
Bachelor of Science (BS), Computer Software Engineering, Bachelor of Science (BS), Computer Software Engineering at Beijing Institute of Technology
Speech and Vision Based Intelligent Personal Assistant
Role in this project:
Back-end Developer
Contributions:90 commits, 2 PRs, 27 pushes in 1 year 1 month
Contributions summary:Yunqi added JavaScript code for recording audio and developed a recorder worker. The commits show the implementation of a WAV encoder and recorder functionality. This suggests work focused on handling audio data within the "Speech and Vision Based Intelligent Personal Assistant" project, indicating back-end development.
Contributions:36 commits, 1 PR, 3 pushes in 3 years 10 months
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