Jeffery Zhao
Chief Executive Officer at Chohotech
Hangzhou City, Zhejiang, China
Summary
🤩
Rockstar🎓
Top SchoolZeyu Zhao is a technology leader and founder with six years of hands-on deep learning and product engineering experience, now serving as CEO and CTO of Chohotech from Hangzhou. He built and maintained core detection and transfer-learning pipelines at NVIDIA—implementing YOLO/SSD detectors, TensorRT plugins, and a UE4-based simulator to generate labeled training data—bridging research models to production. A computational science MS from Harvard with top grades and strong CS foundations from Simon Fraser and Zhejiang University, he blends rigorous academic training with practical system design. Known for shipping end-to-end ML infrastructure (ASR, NLP, TTS, IVA) and realistic 3D simulation work, he favors solutions that reduce labeling effort and legal risk. He prefers email contact and keeps a low LinkedIn presence, signaling a focus on building rather than networking.
6 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer science and technology, 3.9/4.0, Bachelor of Engineering (B.E.), Computer science and technology, 3.9/4.0 at Zhejiang UniversityMaster of Science - MS, Computational Science, 4.0/4.0, Master of Science - MS, Computational Science, 4.0/4.0 at Harvard UniversityBachelor of Science (BS), Computing Science (Minor: Mathematics), 4.22/4.33, Bachelor of Science (BS), Computing Science (Minor: Mathematics), 4.22/4.33 at Simon Fraser University
Chinese, English
Github Skills (32)
speech-to-text10
machine-translation10
low-latency10
tensorrt10
optimizer10
speech-synthesis10
inference10
multimodal10
large-language-models10
nmt10
latency10
throughput10
nvidia10
deep-learning10
sdk10
Programming languages (2)
Github contributions (4)
zeyuznv/NeMo
Aug 2021 - Aug 2021
NeMo: a toolkit for conversational AI
Contributions:1 push in 1 day
nlpconversationalconversational-aichatbotnemo
zeyuznv/TensorRT
Mar 2020 - Mar 2020
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
Contributions:1 push in 1 day
cudanvidiac-librarydeep-learninggpu
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