Inez Alvarez
EECS @ UC Berkeley · Embedded Systems · Research
Hi, I'm Inez.
EECS at UC Berkeley. I build firmware and electronics — drivers, motor control, sensor stacks, and the boards underneath them. I like the messy intersection where clever code papers over a hardware limit, and I'm comfortable on either side of it: reading a schematic, bringing up a board, writing the driver, and instrumenting the system to find out why it actually broke.
- Internships:
Atomic Semi(Embedded Systems SWE, Jan – May 2026),SSDI(Semiconductor Test & Validation, Summer 2025),STARAlula avionics (2023 – 2024). - Currently: Leading the DiabloAvionics architecture rebuild at STAR — flattening the monorepo and reworking the inter-board comms layer.
- Projects: Actuator Board (V1) — 3D render, VI Probe, Dual-BLDC Driver, Miata CAN+BLE Telemetry.
- Teaching: Berkeley AWE • SWE • SEB • Supernode • HOPE — workshops on FreeRTOS, serial debug, PCB bring-up.
News
- May — Kicked off the DiabloAvionics rebuild: merging the duplicate
common/dirs, consolidatingplatformio.iniwithextends =, and reworking inter-board comms. - May — Wrapped Atomic Semi: shipped the VI Probe firmware + COBS-Protobuf serial, closed out the 1 kHz PID stack.
- Feb — VI Probe analog front-end bring-up; verifying anti-aliasing and op-amp stages on the bench.
- Jan — Started at Atomic Semi: STM32 F4 HRTIM, FreeRTOS, 1 kHz PID, mixed-signal debug.
- Sum — SSDI: built Python/MATLAB IV/thermal trend pipelines for aerospace-grade semiconductor validation.
- Jul — Finished RISC-V CPU (Logisim) + TCP socket project; full test suite green.
- Sum — Miata CAN+BLE telemetry: <5% packet loss over 100+ miles with per-stage latency instrumentation.
- Nov — DRV8313 dual-BLDC driver board spinning up; tuning closed-loop current control next.
Current Research
Building a geospatial decision support tool for global water resources — integrating remote sensing data, hydrological indicators, and spatial analysis into an interactive web app to support multi-criteria decisions on allocation and climate resilience.
Tools: GIS • Python • Spatial Data • MCSDSS