Tuo Zhang
Applied Scientist at Amazon
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTuo Zhang is an applied scientist and PhD candidate at USC Viterbi specializing in distributed and federated machine learning systems and applications. With five years of industry and research experience, he has collaborated on mobile-device federated learning at FedML, advanced multilingual and fusion techniques for LLMs at Zoom, and now works on applied science problems at Amazon. He blends rigorous academic training in ECE with practical production experience, including early-career quality engineering at John Deere that sharpened his systems-thinking and process discipline. Tuo’s work spans algorithms, systems, and real-world deployment challenges, with particular expertise in optimizing model integration across heterogeneous environments. Based in Los Angeles, he brings a research-driven mindset to applied ML problems and an uncommon background combining supplier-quality process skills with cutting-edge distributed AI research.
5 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering at University of Southern CaliforniaBachelor of Science - BS, Electrical and Electronics Engineering, GPA 3.9, Bachelor of Science - BS, Electrical and Electronics Engineering, GPA 3.9 at University of California, Santa Barbara
Chinese, English, Japanese
Github Skills (59)
simulation10
confidential-computing10
distributed-training10
ai-agent10
silo10
machine-learning10
inference-engine10
trusted-execution-environment10
autoencoder10
security10
cross-device10
marketplace10
differential-privacy10
privacy-preserving10
federated-learning10
Programming languages (2)
Github contributions (5)
FedML-AI/FedIoT
Mar 2021 - Nov 2021
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
Contributions:130 commits, 2 PRs, 21 pushes in 7 months
intrusion-detectionframework-learningautoencoderraspberry-pion-device
zhang-tuo-pdf/FedAudio
Jul 2022 - Feb 2023
Contributions:163 commits, 73 pushes in 7 months
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