Yun Qu
Software Engineer at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolYun Qu is a software engineer with a decade of experience building performance-focused systems across industry and research, currently optimizing wearable device memory and Android app performance at Meta. He brings deep FPGA and embedded systems expertise from a long tenure at Xilinx—where he was a principal contributor to the PYNQ framework and released DPU‑PYNQ for Vitis AI deployment—and earlier research work on packet classification and high-speed IP lookup. His background blends hardware-software co-design (MRAM controller, FPGA accelerators) with machine learning data tooling experience from Amazon’s annotation hub. A PhD in computer engineering from USC complements his hands-on releases and mentorship of interns, reflecting both rigorous academic grounding and practical product impact.
10 years of coding experience
10 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, 3.96, Master's degree, Electrical and Electronics Engineering, 3.96 at University of Southern CaliforniaBachelor's degree, Electrical Engineering, 83.53, Bachelor's degree, Electrical Engineering, 83.53 at Shanghai Jiao Tong University
Chinese, Chinese
Github Skills (159)
parallel10
python10
toolbox10
hyperparameter-optimization10
deep-learning10
extensible10
ray10
optimization10
xilinx10
linux-kernel10
zynq10
fpga10
scalable10
build-system10
reinforcement-learning10
Programming languages (11)
Github contributions (5)
Xilinx/PYNQ-Networking
Oct 2017 - Mar 2019
Networking Overlay on PYNQ
Contributions:12 PRs, 55 pushes, 16 comments in 1 year 5 months
pythonrouterosasyncionetworkingoverlay
yunqu/Ultra96-PYNQ
Sep 2018 - Oct 2020
Board files to build Ultra 96 PYNQ image
Contributions:64 pushes, 13 branches in 2 years 1 month
pythonasyncioultraaiopython3
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