Summary
Emi Ayada is a Seattle/Bellevue–based software engineer and co-founder with a decade of experience building backend systems, data warehouses, and production ML pipelines. Her career spans product-focused roles at startups and tech leaders—designing scalable ETL and DW infrastructure, leading ML and computer vision efforts, and shipping analytics-driven features at Sony, Outreach, Uber, and Aurora. She holds an MS in Computer Science from the University of Tokyo, where her bioinformatics research on cancer copy-number analysis was published at ISBRA 2015, reflecting a strong quantitative foundation. Emi combines hands-on engineering (Python, Spark, TensorFlow, Kubernetes) with data-driven product sensibility, and she has repeatedly bridged research-grade analytics to reliable production services. An unusual strength is her cross-domain fluency: from bioinformatics publications to deploying multi-GPU training pipelines and AWS Marketplace model listings.
10 years of coding experience
9 years of employment as a software developer
University of Tokyo
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Ochanomizu University
Japanese, English