Summary
Atsu Kakitani is a software engineer with 12 years’ experience building distributed systems, big-data infrastructure, and full-stack web applications, currently working on distributed systems and machine learning applications in Los Angeles. He has led architecture and implementation of Spark-based data and ML platforms, Kafka integrations, and Kubernetes tooling at VSCO and designed ingestion and metrics libraries at Groupon. Atsu blends backend systems work (Scala, Spark, Go, Bazel) with product-facing responsibilities, having been the backend lead for major features like VSCO’s Discover tab and recommendation pipelines. He’s experienced in migrations and operational tooling across Spark, Kafka, Elasticsearch, and Airflow, and has a track record of improving developer workflows through CI/monorepo tooling. A UC Berkeley EECS graduate (3.79 GPA), he also has a history of building impactful nonprofit web platforms early in his career, reflecting a pragmatic focus on shipping useful software.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Electrical Engineering and Computer Science, 3.79, Bachelor of Science (BS), Electrical Engineering and Computer Science, 3.79 at University of California, Berkeley