Building the world's fastest decentralized trading platform with over 100k users and 15Bn in notional volume traded.

Responsible for leading a multi-faceted software development team focusing on consumer technology applications.

Built foundational infrastructure and predictive models for Atlassian's in-house machine learning platform, serving recommendations to 10s of millions of users.

• Conducting research on Generative Adversarial Networks (GANs) for aerial image super-resolution.• Engineering undergraduate thesis industry placement scholarship (ESIPS). • Highest thesis mark of 93/100. Recipient of John Pether Memorial Prize and USMEA First Prize.* Academic paper published in CVIU (top computer vision journal)

• Researching and developing state-of-the art language understanding models for smarter tracking of workplace skills and development.• Backed by H2 Ventures and UNSW 10x accelerator program.• Winners - EduGrowth future of work category.

• First Prize - ASES Startup Pitch Competition.• One of 35 delegates chosen internationally for the Stanford Asia-Pacific Student Entrepreneurship Summit.

• Building data pipelines and forecasting engines to automate the process of receiving customer data to analytics and visualisation end-to-end. Greatly improved scalability and allowed for customer insights on-demand.• Data manipulation, cleaning and machine learning modelling using Python and Jupyter, making data visualisation dashboards in R Shiny as well as SQL database management on AWS cloud.

• Working with the Product Analytics team to apply behavioural analytics and modelling to improve customer-product interactions.• Experimentation with state-of-the-art machine learning techniques like Random Forests and Extreme Gradient Boosting (XGB) implemented using Python and SQL.• User cohort segmentation and clustering using analytics tools like Tableau, Redash and Amplitude.• Natural Language Processing (NLP) for job title parsing and categorisation using Word2Vec.

• Design, planning and development of software for an autonomous vehicle using Robot operating system (ROS), coded primarily in C and Python.• Worked with researchers towards a goal of providing new, intelligent transport options to a potential user platform of 50,000+ students at Sydney University.