Mohammad Esmalifalak is a Lead Data Scientist with eight years of experience applying machine learning to industrial operations, currently driving data-led solutions at Rockwell Automation and Fiix Software. He combines a PhD in Electrical Engineering (University of Houston) focused on ML for power system failure detection with hands-on engineering experience in North American oil & gas and heavy construction projects, enabling practical, safety-conscious predictive models. At McMaster University he translated research into deployed anomaly detection and maintenance-duration prediction systems that materially reduced estimation error and improved equipment uptime. Fluent in three languages, he excels at bridging multidisciplinary teams and helping Ontario manufacturers adopt ML in decision-making. Known for pragmatic applied AI, he often leverages classical power-systems insight alongside modern deep learning to solve real-world predictive maintenance problems.
8 years of coding experience
6 years of employment as a software developer
PhD Electrical Engineering, PhD Electrical Engineering at University of Houston
Master of Science Power Electrical Engineering, Master of Science Power Electrical Engineering at Shahrood University of Technology
Contributions:43 commits, 44 pushes, 1 branch in 1 month
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