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Director of Engineering, Trust & Safety @ Canva | Ex-Google | Machine Learning, Data Science, Trust & Safety, Privacy
TL;DR A full-stack/end-to-end Machine Learning Engineering & Data Science leader with 10+ years experience spanning across industry, research, and academia. Currently at Canva, I establish and lead Trust & Safety org including engineering (e.g. engineering managers, backend/frontend/data/machine learning/security engineers, data scientists, compliance & risk analysts, technical program managers), product managers, operations with the mission to make Canva the most trusted and safe platform for everyone, including areas such as: ✪ Content Safety / Content Moderation ✪ AI Safety / Responsible AI ✪ Account Integrity / Security ✪ Bot Management ✪ Fraud and Abuse Prevention ✪ Privacy Engineering ✪ Risk & Compliance Previously, at Google, I managed and led multiple teams in Google Trust & Safety org with the missions to 1) protect users from security threats, bots, frauds, and abuse using Machine Learning and Data Science, and 2) transform our org into an ML-driven org. Before joining Google, I spent more than 6 years in R&D as a Research Scientist at Data Storage Institute (DSI) Agency for Science, Technology and Research (A*STAR), and a Research Scholar at National University of Singapore. Current areas of expertise: ✪ Team/org Management, Strategies and Leadership ✪ Fighting Security Threats, Frauds, and Abuse @ Scale. ✪ Machine Learning, Deep Learning, Artificial Intelligence, Data Science ✪ Big Data Processing, Analytics, and Storage Previous areas of expertise: ✪ Systems and Programming Support for Non-volatile Memory (Linux Virtual Memory / Filesystem, Libraries for Recoverable / Fault-tolerant Execution) ✪ Parallel & Distributed Computing and Performance Analysis ✪ Programming Languages and Program Verification
National University of Singapore
Doctor of Philosophy (Ph.D.), Computer Science
N/A – Present
Ho Chi Minh City University of Technology
Bachelor's degree, Computer Science and Engineering
N/A – Present
Canva
Director of Engineering
March 1, 2022 – Present
Sydney, New South Wales, Australia
Manager & Global ML Lead, Machine Learning and Data Science
November 1, 2018 – February 1, 2022
Machine Learning Ninja, Applied Machine Intelligence / MLX
January 1, 2017 – April 1, 2017
(Senior) ML Analyst / Engineer, Machine Learning and Data Science
May 1, 2016 – October 1, 2018
Data Storage Institute, A*STAR
Research Scientist
January 1, 2015 – April 1, 2016
Singapore
National University of Singapore
Teaching Staff
January 1, 2012 – December 1, 2014
National University of Singapore
Doctoral Research Scholar
January 1, 2010 – January 1, 2014
National University of Singapore
Junior Research Assistant
July 1, 2009 – December 1, 2009
Sun Microsystems
Campus Ambassador
November 1, 2007 – June 1, 2009
Ho Chi Minh City University of Technology
Google Cloud Certified Professional Data Engineer
June 24, 2026 – Present
Data Engineering with Google Cloud
June 24, 2026 – Present
Google Cloud Platform Big Data and Machine Learning Fundamentals
June 24, 2026 – Present
Scrum: Advanced
LinkedIn Learning ⋅ Course Certificate
June 24, 2026 – Present
Browser-based Models with TensorFlow.js
Coursera
June 24, 2026 – Present
Sequences, Time Series and Prediction
Coursera
June 24, 2026 – Present
Executive Data Science Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory, moving from research scientist to senior ML engineer, then to management and director roles at Google and Canva, demonstrates adaptability, ambition, and a continuous learning mindset. Their involvement in mentoring and transforming organizations suggests a collaborative and growth-oriented approach. The diversity of roles, from deep technical contributions to strategic leadership, indicates a broad perspective and ability to operate effectively across different organizational levels and functions, aligning well with dynamic, high-growth environments.
Soft Skills & Operational Fit
The candidate's experience as a Director of Engineering and Global ML Lead at major tech companies (Canva, Google) indicates strong leadership, strategic planning, and team management skills. Their role descriptions highlight responsibilities in establishing new organizations, leading diverse teams, and driving ML-driven transformations, suggesting excellent operational fit for senior leadership roles. The focus on Trust & Safety and Responsible AI also implies a strong ethical compass and problem-solving orientation for complex, sensitive domains.