Omar Gawdat is a Data De‑Identification Engineer with 3+ years of hands-on experience building backend systems, DevOps pipelines, and AWS-native infrastructure across startups and enterprise environments. Currently based in Dortmund and working at SAP, he applies ML and LLM techniques for large-scale data de‑identification on Databricks while ensuring reliable provisioning and operations. Previously he drove cost-efficient, highly available deployments with Kubernetes and monitoring at Eram Group and iterated on AI chatbots at Outlier, giving him a practical bridge between ML model work and production engineering. A daily-active GitHub contributor, Omar’s commitment to consistent delivery and continuous learning shows in both code and operational excellence.
Contributions:13 pushes, 2 issues in 1 year 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.