Embedded Systems / Software / Hardware
Bare-metal ARM firmware, IEEE 754 RTL, and two live AI platforms.
I build things that sit on both sides of the hardware/software line. On the metal side that means register-level drivers with no vendor HAL — configuring clocks, timers, NVIC and UART directly out of the datasheet — and synthesizable SystemVerilog on FPGA, where a design isn't done until static timing says it is.
On the software side it means shipping. I've designed, built and deployed two production AI platforms end to end: data model and row-level-security auth, the product surface, and the deploy pipeline. Same instinct in both worlds — understand the layer underneath instead of trusting the abstraction.
I'm finishing my B.E. in Computer Engineering at UT Arlington (May 2027) and looking for a Summer 2026 engineering internship where I can work close to the hardware, the systems, or both.
Proficiency by pin. Filled pads indicate depth of hands-on use.
Primary development languages
Silicon, signals and the layer below the OS
Toolchains, frameworks and infrastructure
B.E., Computer Engineering · Arlington, TX
Associate of Science · Dallas, TX
From register-level firmware to synthesized RTL to deployed platforms.
EmbeddedTM4C123GXL (ARM Cortex-M4)
A bare-metal universal IR remote that records and replays signals from any consumer remote via a UART command shell — every driver written at the register level, with no vendor HAL.
FPGA / RTLIntel MAX 10 FPGA
A 16-bit IEEE 754 floating-point adder/subtractor designed and synthesized in SystemVerilog, wrapped in a complete keypad-to-display user-facing system.
Full-StackAI Cognitive Health Platform
A deployed full-stack AI platform that tracks focus, mood, energy and sleep, then predicts a user's cognitive patterns from their own data via a 30-second daily check-in.
Looking for a Summer 2026 engineering internship — embedded, hardware, full-stack, or anywhere the three meet. Send a message and I'll reply.