Summary
Violet Guo is a software engineer in the San Francisco Bay Area with 11 years of experience building data platforms, infrastructure, and ML-powered systems across finance and consumer products. She has delivered end-to-end data engineering and ML solutions at Goldman Sachs and Point72/Cubist, and now applies Ads ML expertise at Google. Her technical breadth spans Python, Spark, Kafka, Airflow, cloud platforms, and production services in Java, Go and C#, enabling robust ETL pipelines, model deployment, and low-latency backends. A UCLA Math of Computation and Statistics graduate with research roots in NLP and computer vision, she blends rigorous quantitative thinking with hands-on engineering. Beyond core roles she’s contributed to academic digital humanities projects and fintech at Tencent, reflecting an ability to move between high-stakes trading systems and human-centered research.
10 years of coding experience
5 years of employment as a software developer
London School of Economics and Political Science
University of California, Los Angeles
Chinese, English