Summary
Cole Maclean is a Staff Machine Learning Engineer in Calgary with 11 years of experience blending chemical engineering domain knowledge with production ML to accelerate the energy transition. He has moved models from R&D to paid trials and production—optimizing compute, scaling pipelines on GCP, and integrating ML with industrial control systems for customers in utilities and energy. His background as a process engineer informs pragmatic solutions: he has identified multimillion-dollar savings, improved facility reliability with anomaly detection, and sped complex math engines from 30 minutes to under 2 minutes. At Uplight and prior roles at Synauta and IBM he led teams, shipped convolutional and custom neural architectures, and built extendable, unit-tested Python libraries and automation around deployment. Comfortable across the stack—data pipelines, distributed compute, and ML research—he pairs scientific rigor with product-minded engineering to turn experimental models into operational value.
11 years of coding experience
9 years of employment as a software developer
Data Analyst Nanodegree, Data Science, Data Analyst Nanodegree, Data Science at Udacity
St. Francis High School
Bachelor of Chemical Engineering, Process, Bachelor of Chemical Engineering, Process at Queen's University
Master of Artificial Intelligence, Artificial Intelligence, Master of Artificial Intelligence, Artificial Intelligence at Polytechnic University of Catalonia
English, Spanish