Lei Gao
Software Development Engineer at Amazon
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolLei Gao is a Software Development Engineer at Amazon with three years of professional experience building developer tooling and cloud integrations from Seattle. With a background that spans a bachelor's in flight vehicle design and a master's in computer science, Lei brings a systems-thinking approach to full-stack problems. At Amazon and as a contributor to the popular aws-toolkit-vscode project, Lei improved inline code suggestions, Lambda debugging, and telemetry for CodeWhisperer and refactored pagination to simplify user flows. Lei’s work shows a knack for refining developer experience—fixing subtle Intellisense and Cloud9 integration bugs that improve day-to-day productivity for thousands of users. Comfortable across frontend and backend layers, Lei pairs pragmatic engineering with attention to observability and UX. Colleagues describe Lei as a detail-oriented engineer who elevates complex tooling through small, high-impact improvements.
3 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at The University of Texas at DallasBachelor's degree, Flight Vehicle Design and Engineering, Bachelor's degree, Flight Vehicle Design and Engineering at Northwestern Polytechnical University
English, Chinese
Github Skills (10)
vscode-extension10
typescript-types9
telemetry9
typescript9
typescripts9
javascript9
debug8
debugging8
aws8
testing7
Programming languages (5)
Github contributions (5)
aws/aws-toolkit-vscode
Jun 2022 - Jan 2023
Amazon Q, CodeCatalyst, Local Lambda debug, SAM/CFN syntax, ECS Terminal, AWS resources
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:435 reviews, 30 commits, 168 PRs in 6 months
Contributions summary:Lei primarily contributed to the AWS Toolkit for VS Code's CodeWhisperer features, focusing on enhancing and refining the inline code suggestion and code completion functionality. Their work included bug fixes related to Cloud9 integration and general intellisense behavior. They also implemented improvements to the user decision telemetry for enhanced analysis. Furthermore, the user worked on refactoring and simplifying the pagination process.
aws-lambdaserverlessaws-resourcesawsecs-exec
leigaol/aws-toolkit-jetbrains
Jan 2023 - Apr 2025
AWS Toolkit for JetBrains - a plugin for interacting with AWS from JetBrains IDEs
Contributions:1 PR, 315 pushes, 33 branches in 2 years 2 months
jetbrainsjetbrains-idesaws
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