Wenqi Jiang
Visiting Researcher at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolWenqi Jiang is a Visiting Researcher and software engineer with nine years’ experience applying heterogeneous hardware—particularly FPGAs—to accelerate data-center systems, from recommender and information retrieval stacks to distributed frameworks and cloud virtualization. She combines deep academic training (PhD work at ETH Zürich and studies at Columbia) with industry research roles at NVIDIA, Google, and AWS, bringing research prototypes toward production relevance. Her hands-on work spans application-specific designs and infrastructure, and she has contributed full-stack web3 tooling (including ZkSync layer-2 transfers and multi-sig wallets) to an educational DApp project. Based in California, Wenqi is skilled at bridging hardware-software co-design and practical cloud deployment, often surfacing non-obvious trade-offs between reconfigurable logic and distributed system abstractions.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Huazhong University of Science and TechnologyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at ETH ZürichHeterogenous Parallel Computing Distributed System Machine Learning, Heterogenous Parallel Computing Distributed System Machine Learning at Columbia University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
javascript10
web3js10
ethereum10
daap10
blockchain10
arb9
solidity9
Programming languages (10)
Github contributions (5)
Dapp-Learning-DAO/Dapp-Learning
May 2022 - May 2022
Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:24 commits, 7 PRs, 2 issues in 27 days
Contributions summary:Wenqi contributed to the Dapp learning project by translating and updating code related to web3js transactions, merging branches, and integrating code from various sources. Their work included modifying code related to ZkSync layer 2 functionalities such as L2 to L2 transfer, L1 to L2 transfer and L2 to L1 transfer. The user also worked on multi-sig wallet functionalities and added a cross-chain Greeter L1 to L2 component.
learning-projectreactnonprofit-organizationdappethereum
oeg-upm/loom-ld
Jan 2022 - Jul 2022
Contributions:65 commits, 56 pushes, 1 branch in 6 months
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