I am a Software Engineer for Model Training and OpenShift AI at Red Hat. Since joining the team in 2025, I have focused on the architecture and delivery of features for Red Hat OpenShift AI (RHOAI), specifically optimizing Kubeflow training workflows and advancing the MLOps domain.
With a professional foundation in backend development, I specialise in building scalable microservices and cloud-native architectures. My work involves creating stable, high-performance systems and utilising CI/CD best practices to ensure every solution is secure and reliable. I proactively utilise AI-assisted development tools to accelerate our development cycles and enhance code quality, collaborating across teams to solve complex technical challenges within the open-source ecosystem.
