Eric Marcoux is an Advisory Software Engineer with a decade of hands-on experience building full-stack, mobile, robotics, ML and DevOps solutions from startup prototypes to enterprise products. At IBM he helped architect Watson Candidate Experience—an internal startup-style team that won HR Executive’s Product of the Year—where he built ML models to classify professions, knowledge-graph similarity engines, ETL pipelines and CI/CD on OpenShift with Istio. He blends research-era robotics and human–machine interfaces from his UMass Lowell work with practical SaaS and platform-building experience as a former startup CTO, giving him rare breadth across embedded systems, cloud-native ops and applied machine learning. Based in Leominster, MA, he prefers small cross-functional teams and pragmatic architectures that turn experimental research into production-grade systems.
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