About this blog
Two decades in engineering gives you a particular way of seeing problems. You learn to trace failures back to their root cause, to think in systems, and to ask whether a solution will hold up under real-world conditions — not just in a demo.
I’ve spent most of that time building control systems and IoT solutions across energy, manufacturing, and infrastructure. From field devices communicating over industrial protocols to cloud platforms ingesting millions of data points, I’ve worked at every layer of the stack. That background shapes how I think about product — not as a set of features to ship, but as a system with constraints, failure modes, and users who depend on it.
Now I’m focused on the intersection of product management and deep tech — software for battery energy storage systems (BESS), renewable energy, and industrial IoT. It’s a space where technical decisions and product decisions are inseparable, where getting the architecture wrong costs months, and where the best product managers are the ones who understand what’s happening under the hood.
This blog is where I document what I learn. I write about product management for technical and safety-critical domains, AI and machine learning applied to real engineering problems, time series forecasting for energy and industrial data, and the protocols, platforms, and decisions that define modern industrial IoT.