From Singapore,
building with AI.

Commercial Analytics, BHP

• Built a real-time vessel scheduling system that increased iron ore sales by 18M tonnes annually ($900M value) through optimised fleet allocation and inventory management.
• Shipped end-to-end LLM workflows automating complex assay data extraction and contract reconciliation — eliminated 600+ hours of manual effort annually and recovered $2.5M in revenue.
• Deployed LLM models on AWS SageMaker that classified $2.7B of off-contract spend, reducing procurement compliance risk by 35%.
• Led Snowflake platform optimisation for 200+ Commercial users — 50% reduction in compute costs alongside data governance + automated CI/CD pipelines.
• Supported migration from IBM CP4D to AWS, implementing enterprise security frameworks that enabled 15+ analytics workstreams and reduced infrastructure cost by 40%.

BHP

• Engineered Spotfire dashboards for Maritime Process & Operations — automated reporting of Contract Errors, Open Voyages, and Laytime settlements (75% time reduction).
• Built Python packages for equipment-failure anomaly detection (autoencoder + LSTM, one-class SVM) and automated dust-data collection from APIs, FTP, and SQL sources.
• Generated insights for the Driver Safety System monitoring vehicles across mine sites — improved safety compliance tracking and operational risk management.
• Drove process improvements for 3rd Party Logistics — increased stock accuracy across 16 BHP warehouses through SAP enhancements, redesigned labels, and optimised packing.

Co-curricular, BHP

Led company-wide engagement initiatives across BHP’s Singapore office (250+ employees), fostering employee morale and workplace culture.

National University of Singapore · 4.6 / 5.0

Nanyang Technological University · 4.9 / 5.0 (First Class Honours)