I'm Mahmoud El_Khayat—I design and build software: web, mobile, and AI-aided. From idea to shipped product.
AI Engineer and researcher focused on building intelligent systems end-to-end: data engineering, model training and evaluation, and production deployment. Experienced with deep learning (transformers, vision), MLOps (evaluation, monitoring, CI/CD for models), and integrating AI into real products. Passionate about model quality, safety, and measurable business impact.
From software engineering to AI-aided applications and AI engineering as a profession, now focused on research and building.
Core technologies and frameworks I work with for AI, backend, and mobile development.

My Workflow
Clarify the problem, success metrics, and constraints so we build the right solution.
Problem definition and requirements
Data availability and quality check
Success metrics and scope
Architecture, data pipeline, and model or API design before writing production code.
System and data pipeline design
Model or API architecture
Quick experiments and validation
Implement, train or develop, evaluate, and ship with monitoring and iteration.
Development and training or implementation
Evaluation and testing
Deployment and monitoring