Paula Camargo is a Software Engineer with 10 years of full-stack experience building web and AI-enabled applications from Vancouver, Canada. She has deep Python and frontend experience—shipping Django backends and React/Angular frontends—and contributed significantly to Microsoft’s widely used Python extension for VS Code, enhancing debugging, telemetry, localization and report-issue workflows. Paula currently focuses on integrating AI into products at Able, moving from code-generation platforms to an AI-powered image-generation app while owning account and authentication features. Her background spans startups and enterprise engineering, where she blends pragmatic product thinking with careful test and instrumentation work. Colleagues rely on her ability to bridge developer tooling improvements and user-facing features, a skill visible in both her open-source contributions and production systems.
10 years of coding experience
8 years of employment as a software developer
Computer Science, Computer Science at Universidad Católica San Pablo
Contributions:153 reviews, 2 commits, 137 PRs in 1 month
Contributions summary:Paula primarily contributed to the Python extension for Visual Studio Code, focusing on improvements to the debugging capabilities. They implemented new features like automatically filling data in the report issue template, including python version, language server and environment information. Also, they enhanced the test suite by adding new tests and fixing existing ones. In addition, they integrated the new report issue command api to improve the experience.
This extension is now maintained in the Microsoft fork.
Role in this project:
Full-stack Developer
Contributions:32 commits in 1 year 9 months
Contributions summary:Paula primarily contributed to the Python extension for Visual Studio Code. Their work included adding new features like a command to report issues and automatically filling in data in the report issue template. They also made various code changes related to debugging Flask applications, including automatically configuring Django, FastAPI, and Flask debug settings. Furthermore, the user focused on improving the extension by adding telemetry and localization features.
linterpythonsort-importsmicrosoftpydocstyle
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