Summary
Michael Enquist is a Senior Manager in BI & Predictive Analytics with 11 years of experience building and operationalizing AI/ML solutions across oil & gas, utilities, logistics, finance, and real estate. He has led enterprise-wide AI integration at scale—delivering predictive maintenance, fraud detection, vendor analytics, and LLMOps that together generated multi-million dollar savings and measurable operational gains. Comfortable across the stack, he deploys models into Snowflake, AWS, and Dataiku, and has implemented GenAI solutions (RAG, LangChain) to halve contract review times. He blends statistical learning, optimization and MLOps expertise with practical NLP/LLM applications, including BERT-based contract and sentiment analysis. A pragmatic leader and mentor, he transitions legacy systems to real-time data infrastructures while establishing governance and adoption roadmaps. Based in Toronto with a Master in Management of AI, he pairs product curiosity—seen in his GitHub interests in ML and building new products—with a track record of translating innovation into business impact.
11 years of coding experience
4 years of employment as a software developer
Master of Management of Artificial Intelligence, Master of Management of Artificial Intelligence at Queen's University
Bachelor's Degree, Major in Finance and Extended Minor in Economics, Bachelor's Degree, Major in Finance and Extended Minor in Economics at Simon Fraser University