BLUESAT UNSW
Digital Signal & Processing Engineer
June 2025—Present · Developed motor-control signals, interfaced microcontrollers and an IMU, contributed to groundstation circuitry and PCB prototyping, and processed satellite signals using SDR++.
Electrical engineer SYD / AUS
I design electrical systems that connect thoughtful hardware, reliable embedded software and clear human feedback.
01 / About
Bachelor of Electrical Engineering student at UNSW, January 2024—December 2027.
I enjoy the point where theory meets a physical system: interpreting a datasheet, debugging a signal, refining a control decision and watching the complete design behave as intended.
02 / Experience
BLUESAT UNSW
June 2025—Present · Developed motor-control signals, interfaced microcontrollers and an IMU, contributed to groundstation circuitry and PCB prototyping, and processed satellite signals using SDR++.

UNSW
May 2026—Present · Helped students connect theory to practical circuits through targeted questions, debugging and hands-on use of oscilloscopes, multimeters and signal generators.

ELSOC
February 2026—Present · Supported technical workshops covering KiCad, STM32, LTSpice and practical electronic measurement equipment.
03 / Selected work
Don't just look—interact. Each project is represented by a live model of its core engineering idea.
Vehicle detected on right side · medium haptic intensity
Embedded safety · ELEC3117
A standalone motorsport system that reduces cognitive overload through directional haptics, proximity sensing and immediate crash-response feedback.
Entry-level racing drivers often juggle several visual displays while making time-critical decisions. The system needed to communicate hazards without adding more numbers or demanding another glance away from the track.
I integrated two ultrasonic channels, directional DRV2605L haptic drivers, an MPU-series IMU, OLED diagnostics and an LED severity ladder around a bare ATmega328P. Subsystems were validated independently before being combined one at a time.
A TCA9548A multiplexer resolved identical haptic-driver I²C addresses. Fixed, testable acceleration thresholds were selected over a more complex dynamic model, and a 2 g crash event overrides every normal operating mode.
The prototype demonstrated directional hazard feedback, distance-scaled vibration, vehicle-dynamics indication and a dedicated crash state in one battery-powered platform.
Nominal monitoring conditions · 28°C / 48% humidity
Competition winner · Robotics
A first-place environmental monitoring robot built to measure temperature and humidity associated with dangerous bushfire conditions.
The competition called for a practical mobile system that could gather useful environmental information while remaining robust, understandable and achievable under a tight build schedule.
Our team combined Arduino-based control, environmental sensors, circuit design and a purpose-built CAD model, iterating between physical construction and subsystem testing.
We prioritised dependable sensing and straightforward control over speculative features, which kept integration manageable and made debugging faster during the competition timeline.
The completed robot won first place and strengthened my ability to move from an open engineering problem to a working physical prototype with a team.
MCU: STM32 MCU coordinates sensing, USB and control firmware.
Hardware design · Personal project
A custom STM32 board developed from schematic capture through PCB routing, created to deepen my practical electronics design experience.
Turning a microcontroller into a dependable standalone board requires more than connecting pins: power integrity, startup behaviour, USB layout and manufacturability all need deliberate treatment.
I designed the schematic and routed the PCB in KiCad, implementing local decoupling, crystal oscillator and reset circuitry, USB connectivity, clear grounding and disciplined power distribution.
Differential USB routing, short return paths and component placement were treated as functional design constraints rather than cosmetic layout choices.
The project developed my ability to interpret datasheets, make board-level trade-offs and carry an embedded hardware concept through a complete design workflow.
Cutoff 2.6 kHz · medium noise · high-frequency noise attenuated
Signal processing · Audio
A collection of signal-processing experiments that turn frequency-domain theory into practical audio denoising and modelling tools.
Useful noise reduction must attenuate unwanted high-frequency content without erasing the information that makes speech and audio intelligible.
I explored Fourier-transform filtering, LPC excitation modelling and a hair-cell model through MATLAB, C-oriented processing and structured signal analysis.
Frequency-domain inspection guided the filter design and helped connect mathematical behaviour with audible changes rather than relying only on trial and error.
The work strengthened my understanding of spectra, filtering and signal models while producing practical methods for improving noisy audio.
04 / Contact
I'm interested in internships and projects across embedded systems, controls, DSP and electrical engineering.