About

I've been fascinated by technology from a young age. After taking apart electronics as a child to peek inside and building HTML/CSS web pages in elementary school, I first properly stumbled into programming by learning BASIC in 7th grade to build games for my TI-83 calculator. In high school, I tested out of university level computer science and learned the fundamentals of electronics design.

The underlying physics of the digital world was a mystery to me until I graduated with a degree in electrical engineering with a focus on semiconductor technology. I was a top undergraduate researcher in wireless communications.

While my studies focused on math, physics, and theory, I honed my practical skills on the side. Self-learning fed my creativity, equipping me with the knowledge and skills to build embedded systems, utilize wireless radios and sensors to transmit data, and spin up servers to take action with it. Combining those skills with a fascination for neuroscience led me to build a simple brain-computer interface before my studies touched on anything practical.

I'm a lifelong learner who's worked with a variety of technologies. My professional career started in the semiconductor industry as a technical advisor for the internet of things (IoT), edge AI, advanced sensors, and microcontrollers. I rose to support multi-national firms and their global teams with system level solutions. Over time, I transitioned to the enterprise software world to focus solely on AI. I've since architected AI solutions and custom search tools for Fortune 500 companies, private firms, and government agencies.

I served as Chief Operating Officer for the AI-powered enterprise search company Mindbreeze, running their US branch. I am currently an independent consultant and advisor, helping firms navigate and implement generative AI solutions.