Summary
Ahmad Ragab is a Staff Machine Learning Infrastructure Engineer in New York with 11 years of experience building data and ML platforms across fintech, e‑commerce, and security domains. He specializes in functional-friendly languages (Scala, Typescript, OCaml) and has a track record of delivering Kafka- and Spark-based streaming and batch pipelines, productionizing ML inference, and improving latency and reliability by implementing parallelization and robust retry logic. Ahmad blends systems-level engineering (Terraform, Kubernetes, AWS/Azure/GCP) with close collaboration with product and ML teams to ship multi-modal AI services and internal tooling. He prefers functional programming and will ramp quickly in OCaml or F#, bringing deliberate design and abstraction skills honed across legacy and greenfield systems. Beyond engineering, his background in liberal studies and design/technology surfaces in interests like generative art and creative coding, reflecting a rare mix of technical rigor and creative curiosity.
11 years of coding experience
12 years of employment as a software developer
MA Religious Studies, MA Religious Studies at University of South Florida
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Oregon State University
Bachelors of Science Material Science Engineering, Bachelors of Science Material Science Engineering at Cornell University
Master's degree Liberal Studies and Design/Technology, Master's degree Liberal Studies and Design/Technology at The New School