I'm an Embedded Systems Engineer specialising in edge AI, FPGA development, and low-level firmware. Currently completing my MSc in Embedded Systems and IoT at Newcastle University, with research focused on energy-efficient AI inference on constrained hardware.
- Embedded Early-Exit ML inference across STM32, MSP430, ESP32 and FPGA
- VHDL hardware design and real-time systems
- Energy-aware embedded AI deployment
- Contributing author on embedded anomaly detection paper (under peer review)

