Generative AI versus operational reality
What is actually deployable, what is mostly marketing theater, and how to separate useful innovation from superficial demos.
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Profile // AI engineering // Defend Intelligence
About me, services & speaking
AI should stay legible AI
strategy should stay executable roadmaps
and product work should prove value products
I build AI systems for companies, explain these technologies to broader audiences, and operate at the intersection of strategy, product and execution.
I graduated in 2016 with a strong machine learning background and a specialization in space communications. My first models were built in San Francisco on satellite latency problems, long before the public conversation reduced AI to prompt engineering. I then moved through consulting, banking, automotive, logistics, retail, luxury and startup environments across research, data science, delivery and program leadership roles. Today I build AI solutions for companies, help shape product roadmaps and speak publicly about what AI really changes in practice.
Applied AI // robotics // speaking // product development
01
Speaking
AI talks and keynote sessions
I speak at companies, schools and events to explain AI clearly and rigorously, from machine learning foundations to generative systems and real-world impact.
02
Consulting
AI roadmaps for companies
I help teams frame the right use cases, prioritize initiatives, align stakeholders and define realistic AI roadmaps tied to business constraints.
03
Products
AI product development
I design and support AI products from prototype to operational rollout, with strong product thinking, data discipline and engineering pragmatism.
04
Media
Defend Intelligence
I also create science communication content to make AI, data and cyber topics more understandable without flattening their complexity.
Positioning
AI engineer, speaker and creator behind Defend Intelligence. I help companies define AI roadmaps and turn that strategy into useful, shippable products.
I operate at the intersection of AI expertise, strategic framing and shipping capacity. I can explain AI to leadership, help a company prioritize its roadmap, and then work with teams to make the product real.
Public presence
Applied AI // robotics // speaking // product development
Conference topics
AI roadmaps and product transformation
How to move from strategic intent to credible execution, with data governance, prioritization and strong product framing.
Scientific outreach and technical pedagogy
How to make AI understandable without distorting it, and help teams communicate more clearly about what they are building.
Trajectory
2016
Machine learning and space systems
Engineering degree obtained in 2016, with a specialization in space communications and early models built in San Francisco around satellite latency computation.
Consulting
Big 4 and industry delivery
Projects and roles across banking, automotive, logistics, retail, luxury and startups, from research and data science to program leadership.
Scale
AI from research to deployment
A path shaped by research engineering, data science and program direction, with systems and models that have reached millions of customers.
Now
AI company + speaking + outreach
Building AI solutions for other companies while also speaking publicly and producing long-form educational content through Defend Intelligence.
Credo
Expertise is not something you declare. It shows in shipped systems, in how deeply you understand data, and in your ability to explain what is actually happening behind the models.
Editorial line
To understand AI, you need to understand data, data science, machine learning and algorithms. Prompting is only an interface, not the core of the subject.