Alexander Leclair is a Senior Machine Learning Engineer with a PhD in Computer Science and a decade of experience building end-to-end ML systems that drive product and clinical impact. He combines hands-on expertise in data pipelines, model training/serving, and LLMs with practical production tooling (DVC, CML, Spark NLP, spaCy) to operationalize healthcare ML under HIPAA constraints. His work spans startups and enterprise—moving from large-scale labeling and Grad-CAM visualization for echocardiography to ML platform responsibilities at The Home Depot and Nasuni. Based in South Bend, he pairs research rigor from Notre Dame with practitioner instincts, often bridging clinician workflows and engineering to deliver well-instrumented, auditable models.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Notre Dame
Bachelor of Science (B.S.), Computer Science + Applied Mathematics, Bachelor of Science (B.S.), Computer Science + Applied Mathematics at Indiana University South Bend
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Alexander Leclair - Senior Machine Learning Engineer at Nasuni