Qiu Qin is a software engineer with 10 years of experience specializing in AI and large language model engineering—pre-training, fine-tuning, distillation and reinforcement techniques—currently accelerating Data Science and AI capabilities at Oracle's OCI. With a PhD in Electrical Engineering and a background in systems engineering and automation, Qiu blends deep research experience (including bioinformatics pipeline work that supported a Cell publication) with hands-on cloud-native engineering. At Oracle he’s contributed to pipeline and workflow management innovations (a pending US patent) and built full-stack solutions such as an OCI Data Science Jobs monitoring dashboard integrating authentication, job control and logs. Prior roles include designing multi-cloud genomics workflows at Duke and developing control and optimization models in academia, giving him strong expertise across ML ops, distributed workflows, and system reliability. Colleagues describe him as an engineer who moves smoothly between research-grade algorithms and production-ready cloud infrastructure.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Automation, Bachelor of Engineering (B.E.), Automation at Guangdong University of Technology
Doctor of Philosophy (PhD), Electrical Engineering, 4/4, Doctor of Philosophy (PhD), Electrical Engineering, 4/4 at Binghamton University
Master of Science (MS), Systems Engineering, Master of Science (MS), Systems Engineering at Xi'an Jiaotong University
This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.
Role in this project:
Full-stack Developer
Contributions:29 reviews, 91 commits, 53 PRs in 9 months
Contributions summary:Qiu primarily focused on developing a monitoring dashboard for OCI Data Science Jobs, implementing both front-end and back-end components. They created a Flask-based application with HTML templates to display job status, logs, and provide options for deleting and running workflows. The contributions included integrating OCI services for authentication, project management, and log retrieval, demonstrating a solid understanding of cloud infrastructure and data science job management. They also refactored the code, added yaml and ui features.
Contributions:3 PRs, 90 pushes, 8 branches in 2 years 9 months
pythonsciencedata-sciencemlmachine-learning
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