I’ve been working across hardware and software for over a decade, started out in electronics and embedded systems, and over time moved toward full-stack apps, infrastructure, and applied AI, which is where most of my work sits today.
I started with a background in Electrical and Mechatronics engineering and worked as a Technical Specialist at STMicroelectronics. After that, I worked across different industries, including ID.me, before moving into Computer Science at George Mason University, shifting my focus to advanced software development, reliable infrastructure, and applied AI systems.
Today, my work spans building modern, scalable, AI-integrated systems from end to end. I architect and deploy solutions across a wide variety of complex projects, connecting modern full-stack applications, resilient cloud infrastructure, and secure on-premise environments.
Over the years I’ve worked across semiconductors, digital identity, and education, with personal projects spanning AWS multi-tier deployments, embedded theft protection on microcontrollers, applied AI systems, and high-performance backends.
From building a full-stack .edu education platform with LMS used by students at an accredited university, to engineering AI-powered systems and high-performance backend architectures, I focus on creating technology that doesn’t just work, but delivers measurable, meaningful impact.
I enjoy solving hard problems, designing reliable systems from the ground up, and pushing ideas from concept to production. For me, engineering is more than just writing code or building circuits. It’s about bridging the physical and digital worlds to create technology that delivers real impact and builds experiences that make people curious enough to keep exploring.
