Vicki Cheung
Administration And Finance Manager
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolVicki Cheung is an Administration and Finance Manager in San Francisco with a decade of experience blending financial stewardship and hands-on IT operations. She oversees accounting, budgeting, audits, contracts, and insurance while also managing office networks, asset inventories, and employee records—bridging administrative rigor with technical fluency. Earlier roles in airport systems support and telecom operations honed her skills in Windows and VMware administration, SQL databases, and mission-critical infrastructure. Vicki contributes to open-source cloud tooling on GitHub, including operational improvements to a Kubernetes EC2 autoscaler and dependency updates for an Amazon Kinesis client, highlighting a practical DevOps and backend sensibility beyond her managerial remit. Her B.B.A. in Computer and Information Systems Security reinforces a disciplined, security-aware approach to both finance and IT. She’s comfortable translating complex technical details into auditable, compliant financial and operational processes.
10 years of coding experience
Bachelor of Business Administration (B.B.A.), Computer and Information Systems Security/Information Assurance, Bachelor of Business Administration (B.B.A.), Computer and Information Systems Security/Information Assurance at San Francisco State University
Chinese
Github Skills (18)
autoscaling10
dependency-management10
kubernetes10
build-configuration10
python10
cloud-infrastructure10
aws-sdk10
aws10
kubernetes-pods10
cloud-services10
dockers9
cicd9
java9
amazon-kinesis9
docker9
Programming languages (7)
Github contributions (5)
openai/kubernetes-ec2-autoscaler
Sep 2016 - Jun 2017
A batch-optimized scaling manager for Kubernetes
Role in this project:
DevOps Engineer
DevOps EngineerContributions:10 commits, 23 PRs, 94 pushes in 8 months
Contributions summary:Vicki primarily contributed to the infrastructure and operational aspects of the Kubernetes autoscaler. Their work focused on improving the scaling logic, implementing features for spot instance management, and integrating with Slack for notifications. They addressed issues related to node draining, capacity calculations, and the overall reliability of the autoscaling process. The user also made several changes to the core autoscaler logic.
kubernetesoptimizedscalingbatch
awslabs/amazon-kinesis-client-python
Nov 2020 - Dec 2020
Amazon Kinesis Client Library for Python
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 1 PR, 2 comments in 2 days
Contributions summary:Vicki primarily contributed to dependency updates, specifically related to the AWS SDK and associated Java libraries. They updated the project's `setup.py` file to include the latest versions of AWS Java SDK dependencies, including AWS STS for role assumption. The user also modified the project to include specific dependencies for supporting features, indicating a focus on keeping the project up-to-date with relevant AWS components. This involved direct modification of build configurations to accommodate these changes.
kinesispythonclient-libraryamazonamazon-kinesis
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