Electrical Engineer Intern — BP
Nov 2023 – Feb 2024 - Built an Excel-based modelling tool to compare HV transmission lines vs hydrogen pipelines (standards, SIL, reactive compensation).
- Added advanced loss models (corona, skin effect, bundling, phase spacing) with inputs up to 500 km / 30 GW.
- Extended to n-1 and multi-line scenarios for AREH/GERI reliability analysis; validated against ETAP and consultant benchmarks.
- Integrated 50+ year lifecycle costs (CAPEX/OPEX, inflation-adjusted) for NPV; identified ~10% lifecycle savings (~$400M) across scenarios.
- Assessed Dynamic Line Rating (wind + thermal algorithms) with potential ~$20M savings; delivered docs and a user guide; presented to senior engineers.
Power Systems · HV Modelling · NPV/Costing · DLR · ETAP
Team Member — Structures, ANU Solar Racing
Mar 2022 – Present - Aero & structures for BWSC vehicles (2023 & 2025).
- Led iterative CFD in ANSYS Fluent; ~20% drag reduction and improved efficiency in realistic conditions.
- Automated CFD workflows in Python, accelerating validation cycles.
- SolidWorks composites design aligned to tooling/layup constraints; integrated structural/electrical packaging.
Aero · Composites · CFD · Python · SolidWorks
Researcher — Individual Honours Project
Feb 2025 – Present - Designed a GRU-based Gaussian-mixture variational autoencoder for early wildfire anomaly detection from eCO₂/VOC sensor streams.
- Trained on normal conditions to improve sensitivity while reducing false positives.
- Built scalable Python/TensorFlow pipelines targeting resource-constrained MCU deployment.
- Unified gas & environmental streams to improve latency and detection accuracy; evaluated model/accuracy/hardware trade-offs for field use.
ML · Anomaly Detection · IoT · TensorFlow · Embedded
Education
Bachelor of Engineering (Honours), Australian National University
Major: Electronic & Communication Systems · Minor: Mechatronic Systems
Expected Nov 2025 · GPA 6.6/7.0 · WAM 81