Led the development of algorithms that analysed millions of creator profiles and matched their content styles with brand campaign requirements using advanced natural-language processing and computer-vision techniques. Built an LLM-driven system to generate personalised campaign briefs for creators based on historical performance, brand guidelines and campaign objectives; validated submissions against outlined requirements. Developed machine-learning pipelines to track and analyse creator content engagement across multiple social media platforms.

Developed a software tool to track and analyse energy-project trends using AEMO data, improving insight into energy transition dynamics. Designed a machine-learning approach for energy transition model calibration that reduced estimation errors by approximately 15% compared with traditional methods. Led deep-learning analysis of methane LiDAR inversion algorithms, streamlining data-processing pipelines and documenting optimization opportunities to enhance emission detection accuracy. Developed statistical methodologies to analyse multi-resolution meteorological datasets for boundary-layer stability assessment and improved fugitive methane emission rate estimates.

Developed intuitive and engaging interactions and visual designs for the TEDxUQ website.

Developed interactive modules for advanced machine-learning courses (COMP4702/COMP7703) and cyber-safety modules for international students.

Selected from over 500 applicants for a fully sponsored entrepreneurship immersion program in Silicon Valley. Collaborated with start-ups on strategic business challenges and gained insight into founding, scaling and investing in early-stage ventures.