# Siwei Li

> Senior Software Engineer (L5) at Google

Location: San Francisco, California, United States
Profile: https://flows.cv/siwei

## Work Experience
### Senior Software Engineer @ Google
Jan 2024 – Present | San Francisco Bay Area

### Software Engineer L4 @ Google
Jan 2022 – Jan 2024 | San Francisco Bay Area

### Software Engineer L3 @ Google
Jan 2020 – Jan 2022 | San Francisco Bay Area

### Undergraduate Research Assistant @ Georgia Institute of Technology
Jan 2017 – Jan 2020 | Atlanta, GA
Member of the Polo Club of Data Science, where we innovate at the intersection of data mining and human-computer interaction (HCI) to synthesize scalable, interactive, and interpretable tools that amplify human’s ability to understand and interact with big data.

# Publications

Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
29th ACM International Conference on Information and Knowledge Management (CIKM'20), October 19–23, 2020, Virtual Event, Ireland.
Track: Resource

MLsploit: A Framework for Interactive Experimentation with Adversarial Machine Learning Research
Nilaksh Das, Siwei Li, Chanil Jeon, Jinho Jung, Shang-Tse Chen, Carter Yagemann, Evan Downing, Haekyu Park, Evan Yang, Li Chen, Michael Kounavis, Ravi Sahita, David Durham, Scott Buck, Polo Chau, Taesoo Kim and Wenke Lee
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Aug 4, 2019. Anchorage, Alaska USA. 
Project Showcase, Oral presentation

Mixed Reality for Learning Programming
Joonyoung Kim, Sudeep Agarwal, Kristina Marotta, Siwei Li, Jonathan Leo, Duen Horng (Polo) Chau
18th ACM Conference on Interaction Design and Children (IDC), Jun. 2019. 
Poster, Honorable Mention

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Aug 19, 2018. London, UK. 
Track: Applied Data Science [Audience Appreciation Award Runner Up]

(more on my website...)

### Software Engineering Intern @ Google
Jan 2019 – Jan 2019 | San Francisco Bay Area

### Software Engineering Intern @ Panasonic Automotive
Jan 2017 – Jan 2017 | Peachtree City, GA
Developed an extensible visualization tool in React/Redux/Node/d3 that enables engineers to create automated sequences that generate various analysis reports; estimated to reduce 30% of testing time.

### Undergraduate Researcher (REU) @ Georgia Institute of Technology
Jan 2016 – Jan 2017 | Atlanta, GA
Member of the Contextualized Support for Learning Lab, where we develop interactive technologies for K-12 Computer Science education.

Improved an open-source K-12 interactive ebook platform for teaching computer science used by 500+ institutions around the world.


## Education
### Bachelor of Science (BS) in Computer Science
Georgia Institute of Technology
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/robertsiweili
- GitHub: https://github.com/RSLi

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