Yuang Jiang
Senior Software Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYuang Jiang is a Senior Software Engineer and Ph.D. graduate from Yale with six years of experience building large-scale recommendation and delivery systems, most recently shaping Instagram Reels ranking and retrieval at Meta. He blends rigorous research—publishing and inventing algorithms in federated learning, RL-based autoscaling, and approximate k-NN—with hands-on systems engineering to ship high-performance production features. Past internships at IBM Research and Nokia Bell Labs produced practical speedups (e.g., PruneFL and sparse convolution kernels) and theoretical analyses that translated into measurable resource and latency gains. Based in New York, he is open to opportunities across industries and brings a rare combination of academic depth and production-grade software delivery.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Science and Technology of ChinaDoctor of Philosophy - PhD, Electrical and Electronics Engineering, All honor, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, All honor at Yale University
Github Skills (11)
machine-learning10
gpu10
python10
numpy9
neural-network9
deep-learning9
tensor8
autograd8
gpu-acceleration8
federated-learning7
spiking-neural-networks3
Programming languages (1)
Github contributions (5)
jiangyuang/FedSNN
Jun 2021 - Aug 2021
Source code for the paper "Federated Learning with Spiking Neural Networks".
Contributions:59 commits, 58 pushes, 1 branch in 1 month
federated-learningspiking-neural-networks
jiangyuang/ModelPruningLibrary
Jan 2020 - Apr 2021
Contributions:7 commits, 6 pushes, 1 branch in 1 year 2 months
sparseconvnetmodel-pruning
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