Compute hardware systems
Physical machines such as CPUs, GPUs, memory, and storage execute instructions under constraints of heat, power, and architecture-level parallelism.
Physical machines such as CPUs, GPUs, memory, and storage execute instructions under constraints of heat, power, and architecture-level parallelism.
This domain is valuable because physical and infrastructure systems make constraints legible. They show how components fit together, where tolerance matters, how failure propagates, and what it takes to keep an assembly reliable over time.
The broader payoff is transfer. Once you learn to see interfaces, bottlenecks, and feedback in a physical substrate, you get better at spotting the same patterns in software, organizations, and markets. This domain gets more useful when it is compared with adjacent systems instead of being treated as a silo. That is where reusable judgment starts to form.
Built a remote learning environment during the pandemic so students could access LabVIEW software and physical lab hardware from anywhere — keeping a robotics program running when everything else shut down.
Robotics brings together many of the things I care about most: building, learning, teamwork, mentorship, and the joy of making complex systems real.
Projects building robots, mentoring students through FIRST Robotics, and creating the tools and environments that make hands-on learning possible.
Virtualization (Conceptual Understanding) is an abstracting computing resources to improve flexibility and efficiency.
VMware ESXi is an enterprise hypervisor for virtualization.