Wenjun T.

Key Skills

Software

Other

Top Subject Matter

Synthetic healthcare data

Agentic AI for HR Tech

Agentic AI for healthcare/digital care operations

Top Data Types

Text

Document

Top Task Types

Function Calling

Freelancer Overview

AI Engineer — AI Hackathon (Agentic Synthetic Healthcare Data Platform). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science in Management, Ivey Business School, Western University (2026) and Bachelor of Business Administration, University of Toronto Scarborough (2024). AI-training focus includes data types such as Medical and DICOM and labeling workflows including 3D Sensor and Function Calling.

Labeling Experience

Agentic AI Developer — Ivey Digital Innovation Studio x Alzheimer Society Southwest Partners

OtherFunction Calling

Built AI-driven caregiver and volunteer care platform features using agentic AI components and real-time analytics. Developed an AI recommendation engine that improved volunteer-care partner matching via multi-factor optimization using structured signals such as location, interests, and workload. Implemented analytics and dashboards designed for operational decision-making while maintaining PHIPA compliance. • Architected an agentic AI care platform connecting stakeholders across regions • Built a recommendation engine for volunteer-care partner matching • Developed caregiver portal modules with AI assistant and personalized resources • Delivered analytics dashboards translating operational data into real-time insights

2026

AI Engineer — AI Hackathon (Agentic Synthetic Healthcare Data Platform)

Other

Developed an agentic synthetic healthcare data platform that generated privacy-preserving medical imaging datasets. Engineered a 3D synthetic medical imaging module producing MRI and CT volumes with clinically correlated perturbations using RaSD methodology. Validated generated imaging fidelity to enable downstream analytics without exposing sensitive patient data. • Created synthetic MRI and CT 3D volumes with clinically correlated perturbations • Applied RaSD methodology to generate clinically aligned variations • Integrated imaging module into an end-to-end agentic AI product • Enabled data-driven healthcare decisions through synthetic imaging outputs

2026

Education

Work History