Summary
Erdem Sahin is an experienced AI and DevOps engineer with 11 years of delivering MLOps, CI/CD and cloud-native solutions across finance, telecom, healthcare and defence clients. He designs repeatable, secure ML pipelines that manage data versioning, experiment tracking and adversarial robustness, and has practical experience hardening models using SHAP/LIME and adversarial testing. Erdem has led large-scale infrastructure projects—from OpenShift and Kubernetes migrations to AI-integrated CI/CD systems for global banks and telcos—while embedding DevSecOps and SRE practices. He also trains teams in prompt engineering and DevOps, turning hands-on consultancy into teachable, scalable practices. Based in Westminster, he combines deep engineering with a talent for translating complex ML/infra challenges into automated, governed workflows that accelerate business value. A less obvious strength: he pairs tactical automation (Lambda state machines, Azure Step Functions) with strategic transformation roadmaps to make AI productionisation repeatable across industries.
11 years of coding experience
18 years of employment as a software developer
Bachelor's Degree Computer Information Technology, Bachelor's Degree Computer Information Technology at Southern New Hampshire University
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Severna Park Senior High Schl
English, Turkish