Data Consultancy & AI Solutions
Transforming your data into actionable insights with robust, scalable, and intelligent cloud platforms built on GCP.
How I Work
A proven, 3-step approach to turning your data challenges into scalable solutions.
Discovery & Audit
We start by understanding your business goals and auditing your current data landscape to identify gaps and opportunities.
Strategy & Architecture
I design a custom, organic blueprint tailored to your needs — prioritizing security, scalability, and cost-efficiency on GCP.
Implementation & Scale
From coding pipelines to deploying AI models, I lead the technical execution and ensure your team is empowered to take the lead.
Insights & Articles
Sharing knowledge from real-world projects and my vision for the future of data.
How we built EU-resident family-finance on GCP
Family money is the most sensitive data we hold. Here's how we built nestbalm on GCP — data in Europe, a schema per household, and a key per family.
Read More →FERC just gave AI data centers a fast lane to the grid — and the grid had nothing to give them
The Federal Energy Regulatory Commission ordered six grid operators to fast-track interconnection requests from data centers, with 30- and 60-day deadlines to defend rate structures. Wholesale electricity is already up 267% in some regions, AI demand is projected to triple through 2035, and the interconnection queue for new generation already exceeds the entire existing U.S. power plant fleet. The order accelerates plugs-in time without adding a single watt of new capacity. The 'fast lane' is a regulatory illusion that papers over the real constraint — generation, not interconnect — and the next 18 months of AI infrastructure buildouts are about to hit a wall that policy just made more visible. The moat in this phase isn't pipes, it's electrons, and there is no policy lever that mints electrons.
Read More →DeepMind is scared of what happens when millions of agents meet — and you should be too
Google DeepMind has launched a dedicated multi-agent safety research investment the same week MIT Technology Review profiled the team's warnings about emergent behavior once agents reach internet-scale populations. The risks are qualitatively different from single-agent risk: coordination failures, collusion, market manipulation, and cascading errors that no isolated eval can catch. While the industry is still funding single-agent benchmarks, the real threat surface is the interactions between agents — and the governance gap is not going to close itself. The same 'decision traces' framework this blog has been arguing for as an enterprise concern is about to become a civilizational concern, and the protocols for capturing it are still being sketched in whiteboards.
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Common Questions
Everything you need to know about partnering with me.
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Have a project in mind? Let's discuss how I can help transform your data landscape into a competitive advantage.