Sean Condon is a Senior Machine Learning Engineer with 11 years of production software experience and a PhD in Automatic Control Engineering, now applying AI across cloud and edge environments. He blends full-stack engineering with a strong security and UI/UX sensibility, shipping systems in Go, Python, C, React and Kubernetes and moving models to constrained edge deployments. Sean has driven network and edge products at Intel and contributed front-end improvements to the high-profile ONOS open-source network OS, demonstrating both product-facing polish and deep systems work. His background spans embedded telecoms and cloud-native services, from NETCONF/YANG modelling to Kubernetes-based AI orchestration. Based in Cork, Ireland, he pairs academic rigor with hands-on delivery—often surfacing subtle UX and performance wins that improve operational reliability. An insatiable AI practitioner (as his GitHub bio puts it), he focuses on turning research-grade ML into maintainable, secure production software.
11 years of coding experience
24 years of employment as a software developer
Ph.D. Automaic Control Engineering, Ph.D. Automaic Control Engineering at University College Dublin
B. Eng. Mechanical Engineering, B. Eng. Mechanical Engineering at University of Limerick
Contributions summary:Sean primarily worked on the front-end components of the ONOS GUI, enhancing the user interface and application functionality. Their contributions focused on implementing Angular-based components and services, updating existing code to newer Angular versions, and addressing UI bugs. They also made improvements to the overall visual presentation and usability of the application, including updating the styling and incorporating feedback to optimize user interactions. This user's work is instrumental in the evolution of ONOS GUI.
Contributions:38 pushes, 62 branches in 3 years 3 months
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