MY PROFESSIONAL JOURNEY

Australian ML engineer in NYC. Building production systems for e-commerce, energy, and agriculture. Exploring blockchain engineering.

2025

Friday Technologies & Step One Clothing

AI/ML Engineer & Backend Systems Developer

Melbourne, Australia • Remote

Architecting production-grade machine learning systems and semantic search infrastructure for enterprise fashion e-commerce platforms serving 100k+ monthly active users. Leading backend development initiatives focused on scalable AI/ML microservices architecture.

▸Engineered semantic search engine using BERT embeddings, improving product discovery conversion rates by 34%
▸Developed CoreML prototypes for on-device AI inference, reducing cloud compute costs by 40%
▸Built real-time data pipelines processing 1M+ events daily using Apache Kafka and PostgreSQL
▸Deployed microservices architecture on Kubernetes achieving 99.9% uptime SLA

2024

FibreTrace Pty Ltd

iOS Software Engineer

Sydney, Australia • Hybrid

Spearheaded development of blockchain-integrated iOS application providing end-to-end supply chain transparency for the global textile industry. Platform now tracks 50M+ products across 12 countries for major luxury fashion brands.

▸Architected Swift/SwiftUI application with Core ML integration for real-time product authentication
▸Implemented QR/NFC scanning system with ML-powered fraud detection achieving 99.2% accuracy
▸Integrated Hyperledger Fabric blockchain processing 2M+ daily transactions with sub-second latency
▸Reduced counterfeit product incidents by 78% through advanced authentication algorithms
▸Collaborated with cross-functional teams across 3 continents to deliver enterprise features

2023-2024

Australian Energy Market Operator (AEMO)

Software Engineering Intern

Melbourne, Australia • On-site

Developed advanced analytics and forecasting systems for Australia's national electricity grid, supporting critical infrastructure managing 200+ GW of generation capacity and serving 20M+ customers across the National Electricity Market.

▸Built time-series forecasting models (Prophet, XGBoost, Transformers) achieving 97.2% accuracy on day-ahead demand predictions
▸Engineered real-time analytics dashboard in React displaying 5-minute granularity grid load data
▸Deployed ML pipeline on Azure processing 288 predictions per day per region for grid stability optimization
▸Integrated renewable energy forecasting to support Australia's clean energy transition goals

2023-Present

Monash University

Bachelor of Advanced Computer Science (Honours) - Artificial Intelligence

Clayton, Australia • WAM: 78.5 (Distinction)

Pursuing advanced degree specializing in machine learning, natural language processing, and intelligent systems. Focused on practical applications of AI to solve real-world problems in healthcare, agriculture, and sustainable technology.

▸Advanced coursework: Deep Learning, NLP, Computer Vision, Distributed Systems, Algorithm Design
▸Research focus: Time-series forecasting for agricultural applications and edge ML deployment
▸Developed multiple production-deployed ML systems as capstone projects (AgrIQ, Neural Cotton Predictor)
▸Active member of Monash DeepNeuron AI research group and hackathon participant

2021-2023

James Cook University

Bachelor of Medicine, Bachelor of Surgery (MBBS) - 6 Months

Townsville, Australia • 2021 • Transferred to Computer Science

Completed first semester of medical training before transitioning to computer science. Early exposure to clinical data analysis and biostatistics informed decision to pursue healthcare technology and AI-driven diagnostics at scale rather than direct patient care.

▸Introductory training in clinical decision-making and evidence-based practice methodology
▸Foundation in biostatistics and medical research applicable to ML healthcare applications
▸Recognized greater impact potential through building AI tools for healthcare providers
▸Pivoted to computer science to combine analytical skills with technical implementation

Origins

Pathway to Global Tech

Grew up in northern NSW's cotton belt. Spent time around farms, saw how agriculture and textiles actually work. Started med school, switched to computer science. Now building ML systems for fashion, energy, and agriculture — industries I understand from the ground up.

▸Agricultural background: hands-on with cotton farming, textile production, supply chains
▸Medical training: analytical approach to data, research methodology, evidence-based thinking
▸CS degree: technical skills to build production systems that scale
▸Focus: shipping working AI for real industries, not proof-of-concept demos