Ahmed Dayib

Designed and built Python based automation pipelines integrating machine learning models for forecasting and anomaly detection in production environments. Architected end to end workflow systems in Python connecting APIs, databases, and internal tools while maintaining data consistency. Deployed containerized Python services using Docker to integrate predictive analytics directly into client infrastructure.

AI Engineer at Stealth AI Startup (2024-01 – Present)

• Designed and built Python based automation pipelines integrating machine learning models for forecasting and anomaly detection in production environments.
• Architected end to end workflow systems in Python connecting APIs, databases, and internal tools while maintaining data consistency.
• Deployed containerized Python services using Docker to integrate predictive analytics directly into client infrastructure.

Software Engineer at Delaget (acquired by PAR Technology) (2023-01 – 2023-12)

• Developed production ready code in TypeScript and React for Delaget's enterprise restaurant management system, utilized by 22,000+ global locations.
• Engineered backend services in C# and SQL Server to process high volume point of sale transaction data and support real time reporting workflows.
• Optimized complex SQL queries and indexing strategies for reporting pipelines, reducing load times by 40% and accelerating daily operator decision workflows.
• Led a comprehensive refactoring initiative to modernize the legacy codebase, transitioning monolithic structures into scalable microservices.

Computer Science – University of Minnesota 2024