
Lecturer at Monash University.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Monash University
Data Scientist
June 26, 2026 – Present
HandovAR
June 25, 2026 – Present
HandovAR: A Framework of AI-facilitated Handover System via Augmented Reality for ICU Nurses
View ProjectInk-in-Space
June 19, 2026 – Present
Ink in Space: Free-Sketch Stylus-Based Text Entry for Mixed Reality
View Projectpersonal_website_alternative
April 29, 2026 – Present
personal_website_alternative — GitHub repository
View ProjectSurfaceTransition
November 16, 2021 – January 25, 2022
SurfaceTransition — GitHub repository
View ProjectImmersiveGestureVisualizer
August 1, 2021 – May 21, 2023
ImmersiveGestureVisualizer — GitHub repository
View ProjectImmersiveSmallMultiples
June 3, 2019 – March 12, 2021
ImmersiveSmallMultiples — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, with a strong focus on graphics, visualization, and mixed reality. While some projects use Python, the overall portfolio leans more towards computer graphics/HCI than traditional data science. The single listed professional experience as 'Data Scientist' at Monash University is current but lacks details, making it difficult to fully assess alignment with a typical data scientist role. The diversity of technologies (C++, Python, various shader languages, web technologies) indicates a broad technical curiosity, but the depth in core data science areas is not evident from the project list alone.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.