# Ryan Fu

> Software Engineer @ Meta

Location: New York, New York, United States
Profile: https://flows.cv/ryanfu

## Work Experience
### Software Engineer @ Meta
Jan 2025 – Present | New York, New York, United States
Ads Serving Platform & Infra

### Software Engineer II @ Microsoft
Jan 2020 – Jan 2025 | Redmond, Washington
Windows Package Manager (Winget)
• Presenter at Microsoft Build 2023 and MVP summit to showcase `winget configure`.
• Added support to install packages provided as a portable/standalone exe or as a zip archive file.
• Designed and implemented an open-source command-line tool called Winget-Create. The purpose of this tool is to help users generate manifest files for any app they wish to submit to the Windows Package Manager Community Repository. 
• Added functionality to integrate with GitHub APIs to support automated updates/submissions in a CI/CD scenario.
• Managing the GitHub repository by interacting with community members and responding to new feature requests or resolving bugs/issues. 
• Winget-Create has approximately 50K+ downloads and has contributed to over 3,000 newly added/updated manifests.

### Software Engineer Intern @ Microsoft
Jan 2019 – Jan 2019 | Redmond, Washington, United States
• Implemented a feature for the MSIX Packaging Tool to allow users to select detected services to include in their package manifest.
• Investigated and authored a design spec for implementing the packaged services feature regarding the process flow for detecting services by analyzing registry changes.

### Software Engineering Intern @ Foxconn
Jan 2018 – Jan 2018 | Houston, Texas
•	Conducted deep learning model training using Tensor Flow to use artificial intelligence to train and classify images of printed circuit board components to enhance the automated optical inspection process.
•	Experimented with retraining custom object detection models to locate and identify damaged or missing electrical components on printed circuit boards and improve the manufacturing quality of the assembly line.
•	Spearheaded an IOT smart edge computing project that acquires, cleans, and interprets data from various sensors at the manufacturing facility to update the interconnectivity of manufacturing machines.

### Engineering Intern @ Qolsys
Jan 2017 – Jan 2017 | San Jose, California
•	Developed a smart door/window shock sensor using an accelerometer-based sensor technology to detect and interpret various levels of forced entry in ordinary homes.
•	Designed various forced-entry tests in the form of weighted pendulum, spring, and drop tests in order to acquire models to replicate the forced entry of an average human.


## Education
### Bachelor of Science (BS) in Computer Science, Minor in Electrical Engineering and Financial Economics
Duke University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ryan-ws-fu
- Website: https://github.com/ryfu-msft

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Source: https://flows.cv/ryanfu
JSON Resume: https://flows.cv/ryanfu/resume.json
Last updated: 2026-04-05