Shaylan Dias is a software engineer and UC Berkeley EECS undergrad with nine years of hands-on experience building infrastructure and search systems across companies like Asana and Databricks. Their recent work focuses on search infrastructure (RAG/vector storage), distributed task queues, Kubernetes, observability, and performance tuning—bridging low-level systems thinking with product-facing reliability. Shaylan has moved between platform and product roles, shipping Spark data pipelines, image builds, and monitoring tooling from internships to full-time engineering. Based in San Francisco, they blend academic grounding in EECS and linguistics with practical security and infrastructure experience gained at Gusto and PayPal. Colleagues describe them as a collaborator who likes to prototype creatively and tackle both performance bottlenecks and developer experience improvements.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Science (EECS) Minor in Linguistics, Bachelor of Science - BS Electrical Engineering and Computer Science (EECS) Minor in Linguistics at University of California, Berkeley
Contributions:186 pushes, 2 issues in 3 years 3 months
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