I discovered my passion for Engineering when I was a senior in high school; typing random words into the command line of an old computer in my programming class and recording the words that did something on the screen. I'm an 80's baby, so I guess my high school saw fit to teach us BASIC, a fitting language from that era. My high school didn't receive modern computers until after I graduated, so yes I was jealous! LOL. However, it was the hand of a teacher who gave me two programming books (C++/Visual Basic) before I left for College, and that jumpstarted my career.
After graduating Undergrad, I co-founded Vesta Mobile Solutions a company that provided media, entertainment, and small businesses the ability to engage with their users through text messaging. Concurrently, I also began my graduate education at UCLA. During my tenure at UCLA, I learned so much about leadership, persistence, and drive. I now take those characteristics and use them to create solutions that will change the world.
These are a few of my favorite things:
Sailing
Entrepreneurship
Basketball
Gym
ATV/Motorcycle Riding
Becoming Wiser
Becoming Smarter
My doctoral research on UV Guardian focused on building sensing systems that continuously interpret environmental signals and translate them into meaningful, real-time guidance. The core challenge was not simply collecting data, but transforming raw sensor input into contextual awareness, understanding what matters, when it matters, and how to act on it.
This same principle now underpins modern AI agents. Today's intelligent systems operate in dynamic environments, ingesting signals from software systems, user behavior, and physical sensors. The work I began with UV sensing signal acquisition, contextual interpretation, and timely intervention, directly maps to how AI agents achieve situational awareness. We extend this foundation to build agent-driven systems that perceive operational context, reason over evolving conditions, and take meaningful action. Whether monitoring infrastructure, supporting clinical decisions, or orchestrating enterprise workflows, the objective remains the same: transform continuous streams of signals into precise, context-aware outcomes. What began as environmental sensing has evolved into engineering intelligent systems that understand their environment—and act with purpose.Ph.D., Computer Science
Thesis: Quality of Information Driven Environment Crowdsourcing and its Impact on Personal Wellness Applications.
Member of the Network Research Lab at the University of California, Los Angeles.
Research interests were around data mining with an emphasis in health informatics.
2009-2014
MS, Computer Science
Member of the Network Research Lab at the University of California, Los Angeles.
My research focus was in the areas of internet protocols and routing.
2007-2009
B.S., Computer Science
2001-2006