
Carlisia Campos
Grokking Tech. Open Source. Kubernetes. Cloud Native Apps & Platforms. AI Enthusiast.
San Diego, California, United States
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Carlisia Campos is a software engineer with experience in Go, distributed systems, and Cloud Native technologies. She has been a maintainer of the Velero and Knative open-source projects, a contributor to Kubernetes, and has held leadership roles in CNCF projects. She has worked on building and improving Cloud Native applications, focusing on scalability, resilience, and developer experience.
Beyond engineering, Carlisia is passionate about bridging the gap between complex technical concepts and intuitive mental models. She has spoken at conferences, contributed to technical podcasts such as Go Time and The Podlets, and mentored developers in the Go community.
Her work and research explore how ideas from biological and goal-directed systems can inform software design. In this talk, she introduces biological signaling as a new perspective for thinking about concurrency in Go, encouraging developers to expand their mental models and consider more adaptive, scalable approaches to software design.
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