Summary
Girgis Micheal is a Platform Engineering Lead and AI engineer with eight years of experience building production-grade ML systems across enterprise, fintech, and startup environments. He combines deep NLP and computer vision expertise with MLOps and cloud architecture to deploy scalable solutions—such as document-processing pipelines at Dell handling 1M+ documents and cost-optimized LLM platforms that cut inference costs by 80%. Comfortable moving projects from research to production, Girgis has led end-to-end products at Cloudilic and Neuland.ai, integrated AI with enterprise stacks like Salesforce and Snowflake, and implemented LLM guardrails for secure deployments. He holds a master’s in AI & Data Science (University of Ottawa), multiple AWS certifications, two pending AI patents, and a track record of mentoring university projects and contributing to community initiatives. Less obvious: he blends competitive problem-solving instincts with a business-first mindset, routinely translating complex research ideas into tangible product impact.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Ain Shams University
Master's degree, Computer Engineering, Master's degree, Computer Engineering at University of Ottawa
English, Arabic, German, French