Hello. I'm Alex.
Most AI and data strategies fail in the same place: implementation. The gap between "brilliant idea" and "actually works" is where I operate.
I close that gap by treating data and AI as operational systems—not just technical problems. My secret weapon? I started in logistics, optimizing warehouse workflows before most people were thinking about "digital transformation." That hands-on, ship-fast mindset shapes everything I do today.
My journey: Logistics → Digital Product Manager → Data Governance Manager
I've learned that good data is the foundation of good products, and the launchpad for meaningful AI. But you can't govern what you don't understand operationally, and you can't build products around data you can't trust.
My approach: Build fast. Test faster. Learn fastest.
I'm not a traditional developer, but I'm an active explorer of AI-powered development tools. I use Claude Code, Cursor IDE, Google AI Studio, v0.dev, Lovable, Perplexity, and whatever's next to rapidly prototype and deploy ideas. My workflow is simple: get something testable into the world as quickly as possible, learn from real usage, iterate.
Why? Because the fastest way to validate an idea isn't a perfect plan—it's a working prototype. The AI tools I explore aren't just productivity hacks; they're enablers of a fundamentally faster learning cycle.
What you'll find here:
- Real experiments with AI development tools—what works, what's hype. - Rapid prototyping workflows from idea to deployed in hours, not months. - Insights from implementing AI and data governance in the real world. - Intersection of Product Management, Data, and AI through a builder's lens. - No abstract theory—just lessons from shipping and iterating.
This blog documents my journey testing ideas fast, breaking things, and learning what actually delivers value. If you believe in building over theorizing, let's learn together.
Stay connected: Follow me here on Medium, or subscribe to my newsletter for weekly experiments and early access to new prototypes.
