About

I build the 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, and a QCon, QCon AI, and InfoQ Dev Summit conference chair.

As the Architect for Red Hat AI – UI, IDE, GenAI Studio, and Workbenches, I define the technical direction for how MLOps engineers, AI practitioners, and data scientists interact with Red Hat's AI platform.

I led the transition of the Open Data Hub Model Registry UI and BFF into upstream Kubeflow, spearheaded Kubeflow Notebooks 2.0 and the ML Experience Working Group, and drove the Red Hat AI/ODH Dashboard toward a modular micro-frontend architecture. Today, my focus is on GenAI and agentic interfaces on top of Kubeflow (Model Registry/Hub, Kale, Notebooks, ML Experience WG), Llama Stack, vLLM, and llm-d — aligning Red Hat's delivery model with upstream innovation.

Before Red Hat AI, I was the architect and tech lead for tooling across the Red Hat Intelligent Application Platform & Services engineering group, where I shaped developer tooling for business automation and serverless workflow platforms.

I'm a Java Champion and an active contributor to several open-source projects, including Kubeflow, Kogito, SonataFlow, KIE Tools, Drools, and jBPM. I hold multiple software patents and have 15+ years of experience across AI infrastructure, developer tooling, business automation, and distributed systems.

Here are some of my highlights.

As a conference chair for QCon, QCon AI, and InfoQ Dev Summit, I work with the global engineering community to identify and surface the technical trends that matter — the same lens I apply to my architecture work and to this blog.

For more information, check out my LinkedIn profile.