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I am an AI and Data Engineer with 2 years of local Australian experience and a focus on building production-grade automation that drives clear ROI. My core strength is bridging the gap between data engineering and applied AI, using tools like Databricks, Azure, and GCP to turn high-volume data into efficient, analytics-ready systems. I am particularly interested in the long-term impact of my work and am open to equity-based or stipend-heavy roles for the right project. You should hire me to eliminate manual bottlenecks and build the reliable, automated infrastructure your team needs to scale.
One achievement I’m particularly proud of is building a serverless AI pipeline on Google Cloud Platform that completely automated a manual email triage process. Before this, the team was bogged down by a constant stream of operational emails, but I was able to architect a containerized Python app using Docker and GPT-4o to analyze and route these alerts in real-time.It wasn't just a technical win; it had a massive impact on our daily productivity, saving over $10,000 in reclaimed time per employee annually. This project really solidified my interest in the intersection of Data Engineering and AI, as I loved the challenge of using cloud-native tools to solve a frustrating, "human" problem. In the future, I want to keep building these kinds of autonomous systems that take the repetitive work off people's plates so they can focus on the bigger picture.
