Hi, I’m Jonathan
I’m a curious engineer who loves exploring, learning, and understanding how complex systems work.
I build intelligent systems that connect the physical and digital worlds, combining software, data, AI, and engineering to enable decision intelligence, digital twins, and smarter infrastructure.
A question at the heart of my long-term interests in robotics and AI is: How can autonomous systems recognize, reason about, and adapt to the unexpected while remaining safe under uncertainty?
Purpose of This Site
This site is a constant work in progress—part portfolio, part notebook, and part personal knowledge base. It’s where I share my projects, research, ideas, and whatever else captures my curiosity.
I’m inspired by Leonardo da Vinci’s notebooks: an evolving collection of observations, questions, experiments, and ideas that was never truly finished. I see this site in much the same way—a place to explore, document what I’m learning, and connect ideas across disciplines.
What I’m Doing Now
I work at Peraton as a systems engineer, combining data engineering, software engineering, and data architecture to build scalable data and AI infrastructure. My focus is laying the groundwork for capabilities such as digital twins, agentic AI, machine learning, and large-scale real-time analytics.
Outside of work, I’m diving deeper into robotics, control theory, and autonomous systems. I’m building my foundations in the mathematics and engineering behind intelligent machines, with a particular interest in drones, robotics, and how AI can safely interact with the physical world.
Projects & Explorations
I’m always exploring new ideas, experimenting with technologies, and building things along the way. Some projects grow into larger systems, while others are simply opportunities to learn something new.
AeroFlux — Cyber-Physical Intelligence
AeroFlux began as an aviation intelligence platform focused on predicting flight delays and understanding how disruptions propagate through complex networks.
It’s also become a broader R&D sandbox for exploring decision intelligence, distributed systems, and cyber-physical autonomy. The underlying ideas extend beyond aviation to robotics, drone fleets, and other interconnected physical systems that need to perceive, predict, and adapt under uncertainty.
The application isn’t currently hosted, but the research, experiments, and ideas continue to evolve as my interests expand into robotics and autonomous systems.