Angela Lin is a software engineer with eight years of experience blending academic ML research and production engineering, currently at Google in Palo Alto. Her background spans NLP and computer vision research at UT Austin and Berkeley, applied ML at Salesforce where she fine-tuned language models to mitigate bias, and hands-on systems work including contributions to the AMP validator and cloud-infrastructure tooling. She has built end-to-end features for conversational AI platforms, led model compression and hyperparameter optimization efforts, and mentored interns on bias measurement—bringing both research rigor and product-focused engineering. Notably, her open-source work on AMP’s validator and testing infrastructure reflects a commitment to robust, well-tested systems beyond model development.
8 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering and Computer Sciences, Bachelor’s Degree, Electrical Engineering and Computer Sciences at University of California, Berkeley
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Austin
High School Diploma, High School Diploma at Mark Keppel High School
Contributions:25 reviews, 27 commits, 56 PRs in 4 years 3 months
Contributions summary:Angela primarily contributed to the AMP validator, focusing on improvements and updates to the validator's rules and testing infrastructure. Their commits involved significant revision bumps to the `validator-main.protoascii` file, indicating modifications to the core validation logic. They also worked on expanding the test suite by adding new tests for various AMP extensions and features and improving the overall testing process. This suggests a focus on maintaining and enhancing the quality and coverage of the AMP validator.
AMP HTML source code, samples, and documentation. See below for more info.
Contributions:130 pushes, 55 branches in 4 years 3 months
more-infoampzeplinhtml-sourceamp-html
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