Mohammed Khamis Amro

Owns the roadmap, execution, and outcomes for 14+ AI products on a B2B medical imaging SaaS platform. Leads from the front, personally working technical edge cases and managing a cross-functional team.

Directed AI R&D across medical imaging and NLP, managing a team of 10+ from ambiguous opportunity through regulatory-cleared, shipped product. Automated manual annotation workflows with model-assisted labeling, cutting effort by 50%.

Built and scaled a hands-on AI team from 3 to 10 engineers while remaining technically close to the work. Managed GCP/AWS ML infrastructure directly and cut deployment cycle time by 45% through automated MLOps pipelines.

Evaluated and onboarded three vendor platforms, scoping integration effort and cost tradeoffs to avoid delivery risk. Reduced external tooling costs by 20%.

Architected and delivered XrAI, a Health Canada-cleared diagnostic AI product, hands-on from research through production release under acute pandemic time pressure.

Integrated ML systems directly into existing EHR workflows, working hands-on with clinical IT teams to reduce manual data entry by 35%.

Pursuing an MBA in Business Administration at Edgewood University, expected to complete in 2026.

Completed a Graduate Certificate in Data Science from Harvard Extension School.

Earned a Master of Science in Data Science and Engineering from Hamad Bin Khalifa University.

Earned a Bachelor of Science in Computer Science from Alexandria University.