Jinyang Gao
Staff Engineer at 阿里巴巴
Hangzhou City, Zhejiang, Singapore
Summary
👤
Senior🎓
Top SchoolJinyang Gao is a Staff Engineer and researcher with 11 years of experience specializing in mechanism design, competitive strategy and machine learning for large-scale e-commerce platforms, focusing on search, recommendation and advertising. With a PhD in Computer Science from National University of Singapore and a background from Peking University, he blends rigorous academic training with production-facing research at Alibaba DAMO Academy. He drives platform growth through optimization, reinforcement learning, econometrics and operational management, routinely bridging algorithmic innovations and marketplace constraints. Jinyang is also an active open-source contributor — notably contributing licensing, dataset adapters and math-operation interfaces to the Apache Singa deep learning project — reflecting his attention to engineering hygiene and scalable systems. He recruits and mentors cross-disciplinary teams of researchers and engineers, and welcomes collaborations from visiting scholars and interns.
11 years of coding experience
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Peking UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at National University of Singapore
Github Skills (6)
c-language10
cprogramming-language10
deep-learning9
algorithms8
data-structures8
data-structure8
Programming languages (1)
Github contributions (5)
apache/singa
Sep 2015 - Jul 2016
a distributed deep learning platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 10 PRs in 9 months
Contributions summary:Jinyang's primary contribution was the preparation and addition of the Apache License to various source files, ensuring compliance with the project's licensing requirements. This included adding the license header to multiple files and removing dependencies like gflags. The user also adapted existing code from Caffe for dataset creation, modifying files for MNIST and CIFAR10 datasets. Moreover, the commits show the user's involvement in defining and implementing math operations within the system, demonstrated by code changes in `math_blob.h`, as well as interface definitions.
learning-platformdeep-learningmachine-learningdistributed-deep-learningdistributed
jinyangturbo/incubator-singa
Sep 2015 - May 2024
Contributions:41 pushes, 10 branches in 8 years 10 months
javaincubatingapache
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