Yangqing Jia
Berkeley, California, United States
Summary
🤩
Rockstar
Top expert inDeep Learning and Computer Vision Technologies
Yangqing Jia is a seasoned AI infrastructure leader and founder with 14 years of experience, currently VP of DGX Cloud at NVIDIA and co-founder/CEO of Lepton AI based in Berkeley. He created foundational open-source projects such as Caffe, Caffe2 and ONNX, co-led the creation of PyTorch 1.0, and contributed to TensorFlow, with Caffe2go shipping real-time models to a billion phones. At Alibaba he oversaw large AI and data analytics platforms (MaxCompute, PAI, Real Time Compute) and earlier at Google Brain contributed to the ImageNet 2014 winning efforts and mobile deep learning work. He blends deep research (PhD, UC Berkeley, 4.0) with systems engineering — from C++/Intel MKL optimizations to building RAG-backed production demos — focused on democratizing AI for enterprises, social good, and science.
14 years of coding experience
Github Skills (36)
search-engine10
fastapi10
c-language10
caffe10
python10
gpu-programming10
machine-learning10
llm10
searchengine10
deep-learning10
ai10
caffe210
search-engines10
cuda10
c-programming-language10
Programming languages (10)
Github contributions (5)
facebookarchive/caffe2
Jun 2015 - Mar 2018
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:1161 commits, 249 PRs, 208 pushes in 2 years 9 months
Contributions summary:Yangqing's commits primarily involve refactoring and enhancing the C++ code related to the Caffe2 deep learning framework, focusing on features such as batch matrix multiplication and custom data types. Furthermore, the user appears to be involved in optimizing and integrating the framework with Intel MKL for performance improvements. They also made various changes to the Caffe2 API, specifically to incorporate support for CUDA, and the underlying memory allocation strategies.
pytorchscalablecaffe2deep-learningml
leptonai/search_with_lepton
Jan 2024 - Feb 2024
Building a quick conversation-based search demo with Lepton AI.
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:3 reviews, 5 PRs, 4 pushes in 13 days
Contributions summary:Yangqing primarily focused on the back-end implementation and deployment of the application. They created the initial Python-based RAG (Retrieval-Augmented Generation) system, which integrated with search engines and language models. Furthermore, they added features such as root path redirection for user interface access and integrated new search engines, indicating DevOps related changes. The user also refactored the code, improving structure and maintainability.
aiai-applicationsleptonaillm
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