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Curating QCon AI Boston forced a specific exercise: mapping where senior practitioners are actually stuck, not what is trending. Six architectural areas emerged that define where AI engineering is right now.
I buildthe infrastructure that makes production AI systems work.
I'm a Computer Scientist immigrant living in the USA, a Senior Principal Software Engineer at Red Hat, andQCon,QCon AI, andInfoQ Dev Summitconference chair.
As the Architect for Red Hat AI – UI, IDE, GenAI Studio, and Workbenches, I shape the strategy and execution behind experiences for MLOps engineers, AI practitioners, and data scientists across Red Hat AI.
I work on open-source AI infrastructure — defining how teams build, deploy, and operate production ML and GenAI systems on Kubernetes.
This is my personal blog — a space where I share essays, document my conference work, and log my research notes. You can also check out my bio.