AI is a product problem, not a technology problem. Fifteen years at Huawei, MBC Group, and a NASDAQ listed company taught me that. Now I architect the systems that bring agentic AI to defense, energy, and capital markets. MIT CSAIL Research Affiliate. I vibe code.
All launched within the last year. Defense AI, energy, R&D acceleration, and financial infrastructure. I lead each one from first architecture decision through go to market.
An agentic AI platform that fuses computer vision, thermal imaging, and RF sensing for autonomous threat detection at the edge. Air to ground, maritime, border security. I figure out what operators actually need in the field and turn that into working software, partnering with companies like Shield AI to bring autonomous detection to defense and critical infrastructure.
Materials discovery is still painfully slow. Whether it's batteries, polymers, coatings, or advanced composites, the traditional lab cycle takes years. I designed the platform that changes this: Large Quantitative Models (LQMs) that design experiments, paired with autonomous labs that run them around the clock with no human bottleneck. What used to take a decade now takes months. The approach is industry agnostic, and that's the point.
A real time energy arbitrage engine for solar, wind, and battery storage that trades autonomously on the grid. What gives it an edge: hybrid Alpha Models that combine physics simulation with LLMs, plus live competitor modeling. No human in the loop.
The traditional IPO book building process, from allocation and pricing to investor syndication, rebuilt as a single secure platform. I designed the architecture and lead ongoing development. Every piece of it has to hold up to institutional scrutiny, and it does.