Joan Wang is an embedded firmware engineer with nearly two decades of experience in embedded systems, currently building firmware at Ubiquiti after leading FAE and project teams for VoIP, ATA, and wireless residential gateway products. She combines deep embedded C and embedded Linux expertise with hands-on knowledge of AP, router, and VoIP architectures, and spent 11 years directly supporting customers as an FAE. Her background spans product development, project management and field support at companies such as Ascendtek, Alpha Networks and D-Link, giving her both technical depth and practical deployment experience. Unusually for a firmware engineer, she has also contributed to data-science workflows on GitHub, demonstrating comfort with model evaluation and pipeline development beyond embedded domains. Based in Taiwan, Joan is effective at translating complex system requirements into reliable, field-proven firmware and support solutions.
The Hitchhiker's Guide to Data Science for Social Good
Role in this project:
Data Scientist
Contributions:10 commits, 5 PRs, 2 pushes in 1 year 2 months
Contributions summary:Joan primarily contributed to the development of a pipeline and workflow using a Jupyter notebook, likely for data science applications. They implemented and evaluated machine learning models, including Ridge Regression and Random Forest, demonstrating an understanding of model selection and performance metrics. The user also updated links and made minor revisions within the curriculum and documentation, indicating a role in refining learning materials.
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Joan Wang - Embedded Firmware Engineer at Ubiquiti Inc.