Summary
Zeyad Hailat is a Data Science Manager with a Ph.D. in Machine Learning and eight years of industry experience translating AI research into production at companies like The Home Depot, Guardian Industries, and Domino's. He combines deep academic expertise in deep learning, computer vision and NLP with hands-on full-stack skills (TensorFlow/PyTorch, SQL, Docker, CUDA, Flask, Streamlit) to deliver business-impacting models and analytics. A seasoned mentor and adjunct professor, he excels at communicating complex technical concepts to cross-functional stakeholders and coaching teams to operationalize ML solutions. Based in Michigan, he maintains an active GitHub and a machine-learning tutorial YouTube channel, reflecting a commitment to continuous learning and community knowledge-sharing. An often-overlooked strength is his front-end and BI fluency (Power BI, Plotly) which helps bridge model outputs to actionable business dashboards.
8 years of coding experience
11 years of employment as a software developer
Ph.D. Machine Learning - Computer Science, Ph.D. Machine Learning - Computer Science at Wayne State University
Master's degree Computer Science, Master's degree Computer Science at Yarmouk University
Arabic, English