Trace Smith is a Senior AI/ML Architect with a decade of experience applying cloud-native AI solutions to the energy sector, blending a deep petroleum engineering background with advanced data science. He has architected large-scale ML platforms and real-time advisory systems at ExxonMobil and AWS, and now builds AI/ML capabilities at Snowflake, with hands-on experience across Bedrock Agents, SageMaker, IoT, and data mesh architectures. A 6x AWS Certified engineer and co-author of the open-source SlickML library, he designs production-ready pipelines, MLOps tooling, and automation that turn domain complexity into operational efficiency. His work spans predictive maintenance, pricing optimization, and multi-agent document-processing systems that automate traditionally manual engineering workflows. Based in Houston, he’s equally comfortable writing IaC and deploying streaming inference as he is translating subsurface physics into actionable models—bringing uncommon depth in both oil & gas and cloud AI.
10 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Petroleum Engineering, Master of Science (MS) Petroleum Engineering at Louisiana State University
Master of Science (MS) Data Science, Master of Science (MS) Data Science at Southern Methodist University
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