Available to hire
William Liu is an analytics and machine learning-focused student with experience building ML models for medical imaging, optimizing data pipelines, and delivering internal tooling that improves team productivity. He blends software engineering and data engineering to turn large datasets into reliable insights and systems.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Javanese
Advanced
Work Experience
Tech Intern at Slack
May 1, 2025 - July 31, 2025Supported the Canada office as a technical generalist, managing user onboarding/offboarding, access control, and asset assignments via Slack-driven workflows to ensure day-one readiness for new hires and exiting employees. Designed and rolled out a project tracking application adopted by the Canada office team, centralizing status updates and reducing meeting-based coordination time by approximately 25%.
Tech Intern at Slack / FloSports (Canada office support)
May 1, 2025 - July 1, 2025Supported the Canada office as a technical generalist, managing user onboarding/offboarding, access control, and asset assignments through Slack-driven workflows to ensure day-one readiness for new hires and departing employees. Designed and rolled out a project tracking application adopted by the Canada office team, centralizing status updates and reducing meeting-based coordination time by approximately 25%.
Algorithm Engineer Intern at FloSports
January 1, 2024 - August 31, 2024Developed and optimized machine learning models on 500,000+ medical imaging records using OpenCV, scikit-learn, and TensorFlow to classify clinical outcomes and imaging patterns. Built NumPy/Pandas profile data pipelines and identified three major performance bottlenecks; refactored preprocessing and feature-engineering steps to improve model classification accuracy by 8% and end-to-end efficiency by 30%.
Algorithm Engineer Intern at SinoVision
January 1, 2024 - August 1, 2024Developed and optimized machine learning models on 500,000+ medical imaging records using OpenCV, scikit-learn, and TensorFlow to classify clinical outcomes and imaging patterns. Built and profiled Python data pipelines with NumPy and Pandas, identified major performance bottlenecks, and refactored preprocessing and feature-engineering steps to improve classification accuracy by 8% and end-to-end efficiency by 30%.
Financial Associate at National Bank of Canada
September 1, 2022 - April 1, 2023Built Tableau dashboards summarizing asset allocation, risk metrics, and quarterly market trends to help relationship managers quickly surface insights during client review meetings. Completed 100+ year-end performance reports by reconciling positions, cash flows, and returns, ensuring accurate documentation and supporting regulatory-compliant reporting for wealth-management clients.
Education
Master of Management Analytics (MMA) at University of Toronto - Rotman School
January 11, 2030 - May 1, 2028BS in Information Technology Management at University of Waterloo - Faculty of Mathematics
January 11, 2030 - May 1, 2026Master of Management Analytics (MMA) at University of Toronto - Rotman School
January 11, 2030 - May 1, 2028BS in Information Technology Management at University of Waterloo - Faculty of Mathematics
January 11, 2030 - May 1, 2026Qualifications
Industry Experience
Financial Services, Healthcare, Software & Internet, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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