At Get In Canada, I architected a multi-tenant immigration SaaS with tenant-scoped data isolation, billing, and an AI document intelligence pipeline. I also built passport checks to detect forgery and a Chrome Extension that autofills government portals.
I solved non-destructive autofill for Canadian government XFA PDFs by building a Python and FastAPI service that preserves digital signatures and 2D barcodes. I connected microservices with RabbitMQ and deployed them to AWS in Canada for data residency compliance.
Before that, at Eyego, I architected IoT data pipelines for Domino's Pizza and built a visitor traffic forecasting system for Jabal Omar Mall. I also contributed to the AI analytics platform that won the UN Tourism AI Challenge.
