Summary
Justin Gould is an ML engineering advisor and technical leader with nine years of experience building production-grade AI, NLP, and data platforms across automotive, healthcare, retail, and hospitality. He combines hands-on engineering—architecting LLM accelerators, NL2SQL and IR systems, probabilistic route generators, and scalable CDC/data-migration pipelines—with product ownership experience shipping enterprise platforms at Ford and Eli Lilly. Justin has repeatedly led cross-functional teams to modernize large estates (20+ TB migrations, cloud-to-cloud ML ops), deploy containerized services on K8s, and operationalize geospatial and connected-vehicle analytics that directly informed multimillion-dollar investments. He’s fluent across the stack (Python, Spark, PostGIS, Terraform, LangChain, Azure/AWS/GCP) and is passionate about democratizing AI so non-technical users can uncover stories in data. A less obvious strength is his track record of translating research-grade models into robust REST APIs and microservices used in production, bridging academia-style innovation with enterprise reliability.
9 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Business Analytics, Master of Science (M.S.) Business Analytics at Michigan State University - Eli Broad College of Business
Bachelor’s Degree English, Bachelor’s Degree English at Michigan State University
English, German