Ziniu Y

United States

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Ziniu Y is a software engineer with nine years of experience and an MS in Computer Science from RPI, focused on backend systems, DevOps, and AI tooling. He contributed notable back-end and deployment work to jina-ai/clip-as-service, improving ONNX/Torch executors, Docker builds, and concurrent client handling for scalable image-text embeddings. With a strong mathematics background and a history of research-driven development, he combines rigorous problem solving with practical production deployments. Energetic and inquisitive, he seeks challenging software engineering roles where cutting-edge ML infrastructure and robust backend engineering intersect.

9 years of coding experience

Bachelor of Science - BS, Computer Science, Mathematics, GPA 3.85, Bachelor of Science - BS, Computer Science, Mathematics, GPA 3.85 at Rensselaer Polytechnic Institute

Science and Technology, Top 5%, Science and Technology, Top 5% at Hefei No.6 Middle School

General Studies, Pass, General Studies, Pass at National Taipei University of Technology

English, Chinese

Github Skills (14)

jina10

pytorch10

docker10

onnx10

devops10

python10

back-end-development10

dockers10

cicd10

ml9

tensorflow9

machine-learning9

deep-learning9

transformers8

Programming languages (3)

TypeScriptJupyter NotebookPython

Github contributions (5)

jina-ai/clip-as-service

May 2022 - Dec 2022

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Role in this project:

Back-end & DevOps Engineer

Contributions:173 reviews, 59 commits, 110 PRs in 7 months

Contributions summary:Ziniu primarily contributed to the back-end implementation and deployment aspects of the `clip-as-service` project. They fixed bugs related to client concurrent issues and port requirements. Additionally, they were involved in adding and refining executor functionalities, particularly for onnx and torch executors, which includes significant changes to the Dockerfiles and build processes, as well as supporting custom onnx models. The user's contributions also include updates to documentation and benchmark implementations.

pytorchnlpcross-modalitybertdeep-learning

jina-ai/inference-client

Apr 2023 - Jul 2023

Contributions:13 reviews, 32 PRs, 118 pushes in 3 months

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial