Complete archive of published writing across all domains.
Building real-time fraud detection for financial systems: 92.6% accuracy with just 13 features and sub-millisecond inference. Through aggressive feature selection (435 features → 13), logistic regression proved that production-ready ML doesn't require complexity—it requires smart fundamentals and clear constraints.
How a flower classification model became a medical diagnostic tool for underserved communities. Using transfer learning with InceptionV3, we built a pneumonia detection system that achieved 73% validation accuracy and increased screening throughput by 340% at UCI Medical's community health center. Real deployment, real impact, real constraints.
The U.S. just greenlit the most ambitious missile defense system in history. It looks like Star Trek, smells like Star Wars, and structurally resembles the Death Star—right down to the fatal flaw.
AI did not wait for permission to change aviation or space. It simply stepped in and started doing the work. In only a few months, we moved from talking about autonomous systems as distant possibilities to watching them fly fighter jets, navigate the darkest parts of the Moon, and run on hardware powerful enough to reshape the pace of innovation.
COV—Cognitive Orchestration & Vision—didn't emerge from speculative futurism. It emerged from a convergence of existing systems, peer-reviewed research, and a coordination problem that modern autonomy still hasn't solved. The bottleneck isn't perception or mobility. It's coordination under cognitive load.
For the last decade the drone industry has chased better hardware, longer flight times, sharper cameras, and faster processors. That race is largely over. In 2025, the limiting factor in drone operations is no longer what drones can do—it's what humans can manage.
Last night, I was standing on the cold wet sand watching 200 drones swarm the sky like a hive of digital fireflies. As they locked into formation, the dark California sky didn't just hold stars anymore—it held a giant, glowing, neon Pikachu. By the time the drones landed, the simulation theory rabbit hole had opened wide.
What people underestimate about multi-drone systems isn't flight—it's continuity. Drones don't fail dramatically most of the time. They drift, batteries dip, links degrade, one unit quietly peels off. Unless someone is watching closely, a hole opens in coverage. That's where most systems break.
