Jassim Abdul Gafoor
Engineering professional working at the intersection of manufacturing operations and automation. I spent two years coordinating high value industrial equipment projects (USD 50M+ portfolio) and kept finding the same thing: the fastest wins come from removing manual work from the workflow. So I build the automation myself, using Python, APIs, and agentic AI workflows that cut reporting from days to minutes and administrative hours by 90%.
UBC Integrated Engineering graduate (mechatronics, control systems) and founding member of UBC ThunderBikes, a student team that built electric motorcycles. Currently studying for an MSc in Industrial Engineering at Curtin University in Perth, focused on machine learning and manufacturing & supply chain optimisation.
Highlights
- 20+ industrial equipment projects delivered on scope, budget, and schedule at Food Process Solutions (Vancouver, BC).
- 90% reduction in administrative manhours via Python automation of timesheet workflows (Clockify API + ADP). Case study →
- 600 users onboarded onto a centralized project data system I designed and rolled out; reporting went from days to minutes. Case study →
- Safety program for 200+ resources on site: helped develop installation safety procedures and training materials.
- Founded an electric motorcycle team at UBC and led safety and recruitment for 20+ members.
Currently
Studying Industrial Engineering at Curtin University (Perth, WA) and founder of JGA4 Consultancy, providing industrial project management and engineering services. Open to project management, manufacturing, and industrial engineering roles.