# Michelle Li

> swe ii @ microsoft

Location: United States, United States
Profile: https://flows.cv/michelleli1

## Work Experience
### Software Engineer II @ Microsoft
Jan 2026 – Present | New York, NY

### Software Engineer @ Microsoft
Jan 2024 – Present | New York, New York, United States
Azure VmWare Solutions Infrastructure Services Team

### Course Instructor @ Cornell Design & Tech Initiative
Jan 2023 – Jan 2023
Co-instructor for INFO 1998: Trends in Web Development

### Developer Lead @ Cornell Design & Tech Initiative
Jan 2022 – Jan 2023

### Technical Product Manager @ Cornell Design & Tech Initiative
Jan 2022 – Jan 2022 | Ithaca, New York, United States
CU Reviews

### Software Developer @ Cornell Design & Tech Initiative
Jan 2021 – Jan 2022 | Ithaca, New York, United States
CU Reviews

### Software Engineer Intern @ Microsoft
Jan 2023 – Jan 2023 | Redmond, Washington, United States
Azure VmWare Solutions Infrastructure Systems Team

### Software Engineer Intern @ Microsoft
Jan 2022 – Jan 2022 | Redmond, Washington, United States
Azure VmWare Solutions Infrastructure Systems Team

### Software Engineer Intern @ Aeyesafe
Jan 2021 – Jan 2021 | Seattle, Washington, United States
– Designed system architecture and backend schema while documenting API implementation strategies to assist and increase collaboration between frontend and backend teams
– Developed user authentication system using a ReactJS + ExpressJS + NodeJS stack and Firebase for authentication middleware
– Developed RESTful API using NodeJS, ExpressJS, MongoDB, and model-view-controller design pattern for to allow caretakers track and monitor their patient’s health and are notified of any abnormalities.

### Undergraduate Research Assistant @ Cornell University
Jan 2021 – Jan 2021 | Ithaca, New York, United States
– Developed android app using Java and Object-Oriented design to randomly sample users’ emotions throughout the day to develop ground truth for machine learning model
– Collected data to help train the CRNN deep learning model recognize seven basic emotions
– Analyzed data set of over 10,000 images using CRNN deep learning model to section out areas from images taken with RGB camera using Python and OpenCV


## Education
### Bachelor of Science - BS in Computer Science
Cornell Duffield College of Engineering

### High School Diploma
Thomas Sprigg Wootton High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/michelleli0
- Website: https://michelleli.me

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Source: https://flows.cv/michelleli1
JSON Resume: https://flows.cv/michelleli1/resume.json
Last updated: 2026-04-05