# Tianyu Li

> Software Engineer at Microsoft

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/tianyu

## Work Experience
### Software Engineer II @ Microsoft
Jan 2022 – Present | Mountain View, California, United States

### Software Engineer @ Amazon Lab126
Jan 2020 – Jan 2022 | Sunnyvale

### Technology Analyst @ Goldman Sachs
Jan 2019 – Jan 2019 | Greater New York City Area

### Summer Technology Analyst @ Goldman Sachs
Jan 2018 – Jan 2018 | Greater New York City Area
Worked on auto reporting for a linux patching system which patches more than 40,000 machines throughout Goldman Sachs.
- Implemented APIs that return status code for a patching event formatted in json.
- Implemented APIs that generate admin report of overall patching events and individualized report for each patching event.
- Implemented APIs that email users and admins patching reports.
- Used elastic search to visualize reports as graphs on firm portal for business management.

### Teaching Assistant @ Carnegie Mellon University
Jan 2018 – Jan 2018 | Greater Pittsburgh Area
Teaching assistant for 18-202.

### Software Engineer Intern @ Veritas Technologies LLC
Jan 2017 – Jan 2017 | Greater Minneapolis-St. Paul Area
Worked on analyzing NetBackup’s (used by 85% Fortune 500) two years’ job records data and predicting future usage trend.
- Created aggregated data tables from the original PostgreSQL database that has more than 300 million records.
- Designed RESTful APIs to process raw data.
- Developed front-end using Angular2 and Typescript. Represented data using ngx-charts library.
- Trained predictive model on 300 million job records data and reached 85% accuracy in predicting future version adoption rate using Random Forest ML algorithm.

### Research Assistant @ Carnegie Mellon University
Jan 2016 – Jan 2016 | Greater Pittsburgh Area
Did research project on Graph Theory and Linear Algebra.
- Implemented Bell-man Ford and Dijkstra’s algorithm on finding SSSP using Standard ML and C.
- Implemented Bell-man Ford’s algorithm using my own implementation of matrix multiply.
- Implemented Bell-man Ford’s algorithm using OpenBLAS library.
- Decreased the running time of Bell-man Ford’s algorithm by 20%.


## Education
### Master's degree in Electrical and Computer Engineering
Carnegie Mellon University
Jan 2018 – Jan 2018

### Bachelor's degree in Electrical and Computer Engineering
Carnegie Mellon University
Jan 2014 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/tianyu-li-8a4b42113

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Source: https://flows.cv/tianyu
JSON Resume: https://flows.cv/tianyu/resume.json
Last updated: 2026-03-22