I speak about cloud, data, AI adoption, agentic systems, and the practical work behind useful AI solutions. I prefer sessions that are direct, concrete, and useful for people who need to make decisions.
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I try to keep sessions grounded in implementation, not generic AI optimism.
I bring experience from cloud architecture, data platforms, machine learning use cases, and product experiments.
My style is direct: make the trade-offs visible, explain what matters, and leave people with something they can use.
Conferences that want practical sessions about AI, cloud, and architecture.
Teams evaluating Azure AI, agentic systems, data platforms, or AI adoption paths.
Workshops for groups that want to move from exploration into implementation.