Electrical Engineering student at the University of Melbourne specialising in Low-Carbon Power Systems. Experienced in power systems engineering, electronic hardware development, and data-driven engineering analysis through internships and technical projects. Strong foundation in power system analysis, electrical testing, hardware validation, Python, and MATLAB, with a keen interest in renewable energy integration, grid modernisation, and reliable electricity networks.
At a Glance
Past
Current
Upcoming
Education
The University of Melbourne
The University of Melbourne
Experience
Tatsuno, Japan
- Supported the development of 2 high-performance scientific camera prototypes by conducting electrical testing, hardware validation, and system integration for high-vacuum applications
- Improved hardware design decisions by performing power budgeting, electrical calculations, and evaluating 8+ electronic components using circuit schematics and manufacturer datasheets
- Accelerated hardware characterisation by developing a Python tool that analysed 45+ GB of electronic sensor noise data, enabling signal integrity assessment and electronic performance validation
- Enabled successful hardware commissioning by configuring Linux systems, local servers, and Web APIs to support hardware integration and software deployment
- Advanced radiation-tolerant hardware research by investigating SiC and GaN wide-bandgap semiconductors and producing Autodesk Fusion CAD models to support electronic system development
Projects
- Observed 62%–253% power flow redistribution by evaluating network reliability and system security under contingency events through modeling line outages (N-1 scenarios) and radial network reconfiguration
- Identified critical voltage regulation issues with 5–10% drops at heavily loaded buses by modelling transformer loading limits, assessing risks to equipment reliability and safe network operation, under increased demand
- Maintained bus voltage accuracy within <2% deviation under equivalent operating conditions by validating power generation and transmission network performance against pandapower benchmarks
- Executed stable convergence within 4–8 Newton-Raphson iterations by developing a Python based solver for steady state analysis of multi-bus systems (WSCC 9-bus network) including fault response scenarios
- Reduced energy losses by 36% while maintaining ±10% voltage regulation under variable solar irradiance by developing adaptive load control strategies for a low-voltage DC electrical network in MATLAB
- Extended battery runtime by 47%, enabling 6+ hours of off-grid operation, by designing a 3-tier hysteresis-based load shedding algorithm that dynamically balanced power demand with battery capacity
- Improved renewable power system reliability across 30+ simulated irradiance cycles by optimising power distribution, load balancing, and energy management under fluctuating generation conditions
- Led a team of 4 to develop a solar-powered embedded system achieving 11+ seeds/minute by integrating battery storage, voltage regulation, and Arduino-based electromechanical control
Skills
Electrical & Power Systems:
Power System Analysis · Circuit Analysis · Power Distribution Fundamentals · Renewable Energy
Programming Languages:
Python · C · Verilog
Engineering Tools:
MATLAB · Simulink · LTSpice · PowerWorld · Microcontrollers · KiCad · Quartus · Git · FPGAs
Testing & Instrumentation:
Circuit Debugging · Electrical Fault Diagnosis · Oscilloscope · Multimeter · Signal/Network Analysis