Brian Cechmanek is a Machine Learning Engineer with over seven years in data science and a decade of professional experience building ML products across legal, healthcare, and synthetic-data domains. He blends research-led curiosity—investigating biologically-plausible networks and predictive coding during graduate work—with practical ML engineering skills in PyTorch, HuggingFace, AWS Sagemaker, Docker and MLOps. Brian has shipped production-ready pipelines and benchmarking at companies like Hazy and Thomson Reuters Labs, and is currently splitting time between founding a stealth AI startup focused on nursing workflows and research/ML product work in legal LLM/RAG systems. Comfortable across the stack from embedded computer vision to large language models, he prefers multi-year, high-impact problems in finance, tax/legal, or agriculture and is open to novel domains. An unusual facet of his profile is the combination of biomedical research roots and hands-on productization of ML, giving him a strong instinct for translating domain problems into tractable AI solutions.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.) Biomedical/Medical Engineering, Master of Science (M.Sc.) Biomedical/Medical Engineering at University of Calgary
Collections of Ops and Development Toolings, Tutorials, for Data Science
Contributions:1 review, 3 PRs, 15 pushes in 1 year 1 month
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