Ashley G is a Staff Software Engineer in San Jose with 16 years of experience building scalable data products and distributed systems, currently driving backend work at LinkedIn. She specializes in large-scale data pipelines, streaming architectures, and performance tuning—areas she’s tackled across roles at LinkedIn and Paxata where she worked deeply with Apache Spark and custom distributed algorithms. Comfortable bridging research and production, she’s supported academic courses at Stanford and contributed to visualization and data-mining projects early in her career, reflecting a strong foundation in both theory and implementation. Known for enjoying the “hard problems” that emerge at massive scale, she combines pragmatic engineering with a clear preference for streaming-first designs.
16 years of coding experience
9 years of employment as a software developer
B.S., Computer Science, B.S., Computer Science at University of California, Los Angeles
Master's Degree, Computer Science, Master's Degree, Computer Science at Stanford University
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