M Darwish

M. Darwish is an accomplished AI-Powered .NET Architect, Senior Machine Learning Engineer, and Cloud Solutions Expert with more than 10 years of experience in enterprise software development and over 3 years of specialized experience in machine learning engineering. He has successfully delivered large-scale digital transformation, cloud migration, and AI-driven solutions across government and enterprise sectors in Saudi Arabia and the Middle East.

His expertise spans artificial intelligence, machine learning, Microsoft Azure, .NET development, microservices architecture, SharePoint, Microsoft 365, Power Platform, and enterprise cloud solutions. He has designed and deployed end-to-end machine learning systems, automated MLOps pipelines, and predictive analytics solutions using technologies such as Azure Machine Learning, TensorFlow, PyTorch, scikit-learn, XGBoost, and CatBoost.

Throughout his career, Darwish has held senior technical and leadership positions with organizations including Microsoft, Wipro, Parsons Corporation, Siemens, Pfizer, and 2P Perfect Presentation. He has led cloud migration initiatives, architected scalable enterprise applications, delivered complex SharePoint and Office 365 transformations, and developed innovative solutions that improve operational efficiency, security, and business performance.

Recognized for his ability to bridge modern AI technologies with enterprise software engineering, he combines deep technical expertise with strong consulting and stakeholder management skills. His work focuses on helping organizations modernize infrastructure, leverage data-driven decision-making, and build scalable, production-ready technology solutions that deliver measurable business value.

He holds a Bachelor's degree in Computer Science from Cairo University and has earned multiple professional certifications in data science, analytics, machine learning, and Microsoft technologies.