Theme Park Photo Engine
Match-and-deliver pipeline that processes millions of ride photos per season — face matching, watermarking, and on-demand delivery to guest portals.
I engineer production-grade AI and machine learning systems for businesses that need real outcomes — computer vision at theme-park scale, intelligent e-commerce with marketing automation, and LCL freight consolidation tools that ship to enterprise clients across the GCC, Singapore, and Malaysia.
Six lanes of work I ship in production. Pick one — I can talk specifics.
Real systems, real users. Tap any project for the full case study.
A small selection from Fiverr buyers across the US, UK, Canada, and Australia. Same voice, same standards, wherever the work lands.
Building real-time photo matching at scale — millions of guest photos sorted, watermarked, and delivered to portals every season.
Mid-career stint inside an applied-AI lab — close to how production CV/ML systems actually get shipped, governed, and supported once they leave the notebook. The exposure shaped how I scope every project today: model choice is the easy part; evaluation, drift, and the human review loop are where most teams quietly lose.
Python automation, scraping, and small-business e-commerce builds for international clients.
Hands-on experience with LCL freight ops, group-buy coordination, and bookkeeping for small importer businesses.