About

I am a systems and compute engineer focused on the infrastructure that enables modern artificial intelligence. My interests center on computer architecture, high-performance computing, robotics platforms, and hardware–software co-design, with an emphasis on building reliable, scalable systems from first principles.

I am currently pursuing a master’s degree in Computer Engineering at Arizona State University, where my work concentrates on advanced computing systems rather than application-level AI alone. I previously completed graduate study in electrical engineering at the Georgia Institute of Technology, and have undertaken supplemental graduate-level coursework in computer science at Stanford University and systems engineering at the University of Southern California.

At ASU, I am currently focusing on courses that sit directly at the intersection of AI and compute platforms, including Advanced Computer Architecture (modern CPU microarchitectures and GPU design), Advanced Operating Systems, and Reconfigurable Computing, with emphasis on FPGA-based acceleration for data-center and edge workloads.

Before returning to graduate study, I built and led systems across defense, aerospace, and semiconductor environments. I began my career with service as a commissioned officer in the United States Navy, including nuclear engineering training and later work as a cryptologic officer. I ended my Navy career with the rank of Lt Commander. That experience continues to shape how I approach engineering: focused on accountability, operational reliability, leadership under uncertainty, and decision-making in complex technical environments.

Afterward, I worked in silicon design and test at Intel, followed by operations and semiconductor packaging at Amkor. Then into software and systems roles at organizations including Garmin, Northrop Grumman, Boeing, and Microchip Technology, where my work spanned embedded platforms, large-scale systems integration, and test infrastructure. These experiences continue to inform how I evaluate architectural tradeoffs, reliability constraints, and real-world deployment considerations.

Alongside my technical background, I hold an MBA, which provides a strong foundation in finance, operations, and product strategy. I am particularly interested in how architectural decisions propagate through cost models, manufacturing constraints, supply chains, and long-term product roadmaps — a perspective that complements deep technical design.

I am actively exploring opportunities for summer internships and full-time technical roles in compute infrastructure and AI systems, and would consider pausing formal study for the right opportunity to contribute at scale. This site documents the projects and writing that reflect that trajectory.