Experience

As the project lead of J365, a mentorship-driven social initiative, I oversee strategic planning and execution to empower student and early-career athletes (particularly rugby players) in building sustainable life paths beyond the pitch.

• Lead overall project strategy, including goal-setting, logistics, and implementation
• Coordinate mentor–mentee engagement, matching athletes with professionals
• Cultivate partnerships with rugby veterans and professionals
• Manage program timelines, monitor progress, and evaluate outcomes

As a start-up operations intern, I assist with sales development activities, lead generation and management, and preparation of presentations.

• Sales development activities
• Lead generation and management
• Presentation preparation

Supported project planning and execution by integrating geospatial analysis with project management tools and practices. Role involved both technical and coordination functions.

• Cleaned and validated spatial data using QGIS
• Developed tools to monitor project deliverables and automate reminders
• Designed and refined work plan templates
• Provided regular progress reports and flagged data discrepancies

Contributed to the development of high-quality machine learning datasets by accurately labelling and categorising data according to detailed project guidelines.

• Applied project-specific annotation protocols to label images
• Conducted regular quality checks and participated in feedback cycles
• Collaborated to clarify ambiguous cases and update labels
• Supported creation of unbiased, high-performing AI models

Accurately entered and updated essential data into company databases and systems, ensuring all records were precise and up-to-date.

• Reviewed documents and verified information
• Corrected discrepancies and handled sensitive information
• Collaborated to streamline data processes

Labelled and annotated LiDAR data to assist in training AI models for spatial recognition and object detection. Worked with complex 3D point cloud data.

• Identified and categorised objects (vehicles, pedestrians, infrastructure)
• Ensured annotations met quality standards for autonomous systems
• Developed reliable datasets for AI applications