Data and software engineer working in the Market Insights team in Proptrack Australia. Our work includes building and continually improving our machine learning products such as the automated valuation model (AVM) and delivering quality data products and insights using our ETL platform.Technologies include AWS, Google Cloud Platform and Big Query, Python, as well as several in house and open source tools such as Apache Airflow and Great Expectations.

I'm researching ways for computers to sift really good stories out from a large pool of events. This is one of the key problems facing emergent interactive narratives, that can help unlock the ability to automatically generate rich narratives for explorable, open-world games and simulations. My interests include agent-based simulations, machine learning, and AI ethics.

2020 Semster 1:- Further Programming (Java)- Object-Oriented Software Design (Java)

Backend development for a project with the Computing Research and Education Association of Australasia (CORE)

As part of my role as a Graduate Software Developer, I rotate across a variety of teams and technology stacks every 3-6 months.Rotation 1: REALABS - (Innovations Team/Games Development) • Worked with technologies such as ARCore and Unity3D to build VR and AR experiences• Developed experiences and experiments for the Microsoft Hololens, Google Daydream, HTC Vive, and mobile• Presented and demonstrated to both technical and non-technical customers, engaging individuals about how the future of tech affects the real-estate industry and beyondRotation 2: Realestate.com.au Homeloans - (Software Development - UI)• Front-end development using Javascript, React.js, and Redux• Helped deliver a brand new way for Australians to search for property, allowing them to browse with confidence knowing their maximum purchasing power and a conditional approval.• Opportunity to take part in some very mature, lean software delivery. Took me a while to understand what on earth was going on.Rotation 3: Consumer Insights and Analytics - (Data Engineering)• Job orchestration with Airflow, Google Cloud Services, Google Big Query, AWS SageMaker• Languages included Scala, Java, Python, SQL, Ruby• Worked with a team that built (maybe) Australia's biggest stream ingestor to Google BigQuery. • Helped build an in-house solution that enables Airflow-as-code. Rotation 4: DMC Delivery Engineering - (Cloud/Systems Engineering)• Amazon Web Services, Docker• Developed and understanding of infrastructure as code, continuous integration, and continuous deployment using Docker, Amazon Web Services, Buildkite