Angel Gao is a software engineer with 12 years of experience building data-driven backend systems and recommendation engines, currently contributing to Stripe's platform from San Francisco. Previously at LinkedIn she led relevance and outlier-detection work for Talent Insights and shipped a job-recommendation system as an intern that drove a >60% lift in applications, with a patent pending from that work. Her background spans large-scale data engineering and analytics—Airflow, Kafka, HBase, ETL pipelines—and full-stack product features from her early roles. She has taught CS fundamentals as a Stanford Code in Place section leader and brings both production on-call rigor and a talent for automating operational toil. Angel holds CS degrees from University of Waterloo and National University of Singapore, pairing strong academic foundations with proven impact in product-facing data systems.
11 years of coding experience
5 years of employment as a software developer
Computer Science & Statistics with Business Option, Mathematics and Computer Science, Computer Science & Statistics with Business Option, Mathematics and Computer Science at University of Waterloo
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at National University of Singapore
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