A bit about me
I’m an AI and systems engineering leader who enjoys building real-world products more than writing papers. For the past eight years I’ve worked across industrial data, time-series modeling, and large-scale monitoring systems. Most of my work lives where sensors, control systems, and people meet: predicting machine health, spotting subtle process drifts, and using energy data as a window into how factories actually behave. This site is a small thinking lab: a place to collect projects, essays, quotes, and creative experiments as I keep learning.
What Defines Us
Principles that guide our daily work
Practical first
I care less about fancy models and more about whether a plant engineer can trust and actually use the system.
Systems thinking
Machines, data, people, incentives, and constraints all matter. Good AI respects the whole system, not just the dataset.
Clarity
I try to turn noisy signals and complex ideas into language and visuals that non-ML folks can act on.
Craft
From model design to slide decks, I like things that feel thoughtfully made — simple, but not simplistic.
Long-term thinking
It’s not just about the first deployment. It’s about maintainable systems that keep learning with the factory.
Curiosity
I keep a wide curiosity stack: physics, poetry, manufacturing, and how humans adopt technology in the real world.