Jiao Dong
Chief Financial Officer at Shyno Bistro
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolJiao Dong is an accomplished finance executive with 11 years of experience building finance organizations from the ground up and driving IPO-ready accounting, internal controls, and financial information systems. As CFO at Shyno Bistro she built teams and systems that cut monthly close to five days, automated 98% of document recording, delivered an EBITDA improvement of 19%, and implemented tax planning that reduced outflows by 88%. Previously as Director of Finance at a Hillhouse Capital-backed company she led FSSC construction, SAP/Hyperion implementations, and budget controls for R&D programs exceeding RMB 200M while cutting operating expenses by half. Fluent in English and trained in accounting and business management at BUPT, she blends strong analytical, organizational, and stakeholder-management skills with hands-on legal and investor relations experience. Unusually for a senior finance leader, she contributes to high-performance computing and distributed AI open-source projects (notably Ray and Alpa), reflecting technical fluency in DevOps and backend engineering that helps bridge finance and engineering teams. Practical, systems-minded, and comfortable in fast-paced environments, she specializes in aligning finance strategy with product and growth initiatives.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Accounting and Business/Management, Master's degree, Accounting and Business/Management at Beijing University of Posts and Telecommunications
Github Skills (18)
infiniband10
kubernetes10
docker10
distributed-training10
python10
cluster-computing10
dockers10
parallel-computing10
kubernetes-pods10
accelerated-computing10
high-performance10
jax10
scientific-computing10
testing9
logging9
Programming languages (4)
Github contributions (5)
ray-project/ray
Jun 2021 - Nov 2022
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:3 releases, 622 reviews, 130 commits in 1 year 5 months
Contributions summary:Jiao's primary contributions centered around enhancing the Ray Serve framework, specifically focusing on the "serve" component. The commits included adding logging features, improving the shutdown procedure, and adding test configurations. The user also addressed dependencies and test infrastructure.
pythonconsistsruntimetensorflowserving
alpa-projects/alpa
Jun 2022 - Jan 2023
Training and serving large-scale neural networks with auto parallelization.
Role in this project:DevOps Engineer & ML Engineer
DevOps Engineer & ML EngineerContributions:4 reviews, 5 commits, 6 PRs in 6 months
Contributions summary:Jiao's contributions primarily focus on infrastructure setup and build configurations related to the Alpa project. They added a build and deployment guide for Kubernetes/Infiniband, demonstrating expertise in high-performance computing infrastructure. Additionally, the user updated the Dockerfile to include necessary dependencies for both Alpa and Jaxlib, including CUDA, and ml5x support. Furthermore, the user improved debugging capabilities of the code by adding input/output sharding specs.
alpatputrainingcompilertensorflow
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