Summary
Fares Alfadhli is a Senior AI Engineer with 11 years of experience building production-grade ML systems, currently focused on medical imaging and healthcare AI from Kuala Lumpur. He bootstrapped and led AI functions at startups and enterprise teams—founding Bexis AI and spearheading the AI & Data Science function at DÜRR DENTAL—then shifted into a hands-on role designing models and scalable MLOps on AWS SageMaker, ECS, and CDK. His background blends product-facing data science (recommendation engines, personalization, credit scoring) with rigorous engineering practices like MLflow, ZenML, Airflow, and GitOps to move research into reliable, auditable deployments. Fares pursues people-centred AI academically and practically, studying human context, ethics, and trustworthiness alongside technical craft. He’s comfortable across the full ML lifecycle—from data pipelines and experiment tracking to model versioning and regulatory integration—and has repeatedly chosen durable, responsible exits over risky scaling. That mix of founder grit, systems engineering, and a clinical focus gives him a rare ability to deliver AI that is both usable and accountable.
11 years of coding experience
10 years of employment as a software developer
Foundation degree Computer Science, Foundation degree Computer Science at Universiti Antarabangsa Albukhary
Master of Science in Artificial Intelligence Artificial Intelligence, Master of Science in Artificial Intelligence Artificial Intelligence at University of Colorado Boulder
Bachelor's in Information Science and Technology (Hons) Artificial Intelligence, Bachelor's in Information Science and Technology (Hons) Artificial Intelligence at Multimedia University
English, Arabic, Malay