Iraj Hedayati is a seasoned Data Engineer with over a decade of experience designing and scaling data infrastructure at high-growth tech companies. He currently works as a consultant with Apple, specializing in distributed systems, Spark, and backend development. Iraj teaches Data Engineering courses focused on real-world applications in big data processing, cloud infrastructure, and modern data pipelines. His industry background includes leading large-scale data migrations, optimizing cloud costs, and building end-to-end systems for data ingestion and analytics.

Davood Fekret is an experienced supply chain and operations management professional with a strong background in inventory control, logistics, and ERP systems implementation. With over 20 years of experience in the automotive manufacturing and distribution industry, he excels at streamlining processes, improving warehouse efficiency, and leading cross-functional teams. Davood is highly skilled in Lean Manufacturing, Warehouse Management, and end-to-end process implementation. He is passionate about data-driven decision-making and continuous improvement.

Mojtaba holds a Ph.D. in Machine Learning from the University of Montreal–Mila, along with two master’s degrees in Software Engineering from Concordia University and Machine Learning from the University of Montreal. He brings extensive experience in both academia and industry, having taught a range of computer science and software engineering courses with a focus on practical AI applications. He has also worked in leading tech companies, including Amazon, Microsoft, SAP, and Ericsson. Passionate about student engagement and interdisciplinary learning, he is committed to fostering critical thinking and innovation in the classroom.

Iraj Hedayati is a seasoned Data Engineer with over a decade of experience designing and scaling data infrastructure at high-growth tech companies. He currently works as a consultant with Apple, specializing in distributed systems, Spark, and backend development. Iraj teaches Data Engineering courses focused on real-world applications in big data processing, cloud infrastructure, and modern data pipelines. His industry background includes leading large-scale data migrations, optimizing cloud costs, and building end-to-end systems for data ingestion and analytics.

Davood Fekret is an experienced supply chain and operations management professional with a strong background in inventory control, logistics, and ERP systems implementation. With over 20 years of experience in the automotive manufacturing and distribution industry, he excels at streamlining processes, improving warehouse efficiency, and leading cross-functional teams. Davood is highly skilled in Lean Manufacturing, Warehouse Management, and end-to-end process implementation. He is passionate about data-driven decision-making and continuous improvement.

Mojtaba holds a Ph.D. in Machine Learning from the University of Montreal–Mila, along with two master’s degrees in Software Engineering from Concordia University and Machine Learning from the University of Montreal. He brings extensive experience in both academia and industry, having taught a range of computer science and software engineering courses with a focus on practical AI applications. He has also worked in leading tech companies, including Amazon, Microsoft, SAP, and Ericsson. Passionate about student engagement and interdisciplinary learning, he is committed to fostering critical thinking and innovation in the classroom.

Iraj Hedayati is a seasoned Data Engineer with over a decade of experience designing and scaling data infrastructure at high-growth tech companies. He currently works as a consultant with Apple, specializing in distributed systems, Spark, and backend development. Iraj teaches Data Engineering courses focused on real-world applications in big data processing, cloud infrastructure, and modern data pipelines. His industry background includes leading large-scale data migrations, optimizing cloud costs, and building end-to-end systems for data ingestion and analytics.

Davood Fekret is an experienced supply chain and operations management professional with a strong background in inventory control, logistics, and ERP systems implementation. With over 20 years of experience in the automotive manufacturing and distribution industry, he excels at streamlining processes, improving warehouse efficiency, and leading cross-functional teams. Davood is highly skilled in Lean Manufacturing, Warehouse Management, and end-to-end process implementation. He is passionate about data-driven decision-making and continuous improvement.

Mojtaba holds a Ph.D. in Machine Learning from the University of Montreal–Mila, along with two master’s degrees in Software Engineering from Concordia University and Machine Learning from the University of Montreal. He brings extensive experience in both academia and industry, having taught a range of computer science and software engineering courses with a focus on practical AI applications. He has also worked in leading tech companies, including Amazon, Microsoft, SAP, and Ericsson. Passionate about student engagement and interdisciplinary learning, he is committed to fostering critical thinking and innovation in the classroom.

Iraj Hedayati is a seasoned Data Engineer with over a decade of experience designing and scaling data infrastructure at high-growth tech companies. He currently works as a consultant with Apple, specializing in distributed systems, Spark, and backend development. Iraj teaches Data Engineering courses focused on real-world applications in big data processing, cloud infrastructure, and modern data pipelines. His industry background includes leading large-scale data migrations, optimizing cloud costs, and building end-to-end systems for data ingestion and analytics.

Davood Fekret is an experienced supply chain and operations management professional with a strong background in inventory control, logistics, and ERP systems implementation. With over 20 years of experience in the automotive manufacturing and distribution industry, he excels at streamlining processes, improving warehouse efficiency, and leading cross-functional teams. Davood is highly skilled in Lean Manufacturing, Warehouse Management, and end-to-end process implementation. He is passionate about data-driven decision-making and continuous improvement.

Mojtaba holds a Ph.D. in Machine Learning from the University of Montreal–Mila, along with two master’s degrees in Software Engineering from Concordia University and Machine Learning from the University of Montreal. He brings extensive experience in both academia and industry, having taught a range of computer science and software engineering courses with a focus on practical AI applications. He has also worked in leading tech companies, including Amazon, Microsoft, SAP, and Ericsson. Passionate about student engagement and interdisciplinary learning, he is committed to fostering critical thinking and innovation in the classroom.