Professional Overview
Data engineer who builds pipelines end to end, from the transactional source through modelling to the serving layer. Currently running a CDC-based ELT platform on paid infrastructure, built alongside a distributed job scheduler with failover and resource-aware placement. Top Achiever of the Microsoft Data Engineer track at Egypt’s national Digital Egypt Pioneers programme, recognised by the Minister of Communications and IT.
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
