Summary
Mark Wahba is a Staff Software Engineer with 11+ years building scalable, cloud-native systems across AWS and Apple, specializing in full-stack development and productionizing AI for biomedical research. He designs service-oriented architectures and workflow/provenance systems that enable customizable generative AI pipelines for antibody discovery, leveraging TypeScript CDK, Lambdas/Step Functions, ECS, DynamoDB and Health Omics. Mark has driven significant cost and reliability improvements—cutting service costs by over 75% in retail store platforms—and consistently tunes the user experience to sub-two-second console load times. He pairs hands-on coding with organizational leadership, running feedback loops, incident postmortems, and knowledge-transfer programs that accelerate team maturity. Based in Cupertino, he combines enterprise engineering rigor from finance and insurance with a research background in biomedical informatics and a recent ML-focused master's, making him adept at bridging domain science and production systems.
11 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science; Machine Learning, Master's degree Computer Science; Machine Learning at Georgia Institute of Technology
Master's Engineering Leadership - Enterprise Software and Architecture, Master's Engineering Leadership - Enterprise Software and Architecture at The Ohio State University
English, Arabic