Patrick Aselin is a Machine Learning Engineer III with 8 years of experience building on-premise cloud services and production ML analytics for industrial and additive manufacturing. Currently at VulcanForms, he architects data infrastructure, rapid web apps, and hardware-integrated analytics to make manufacturing insights accessible across technical and non-technical stakeholders. Previously at IBM he converted research scripts into deployable frameworks, built explainable ML dashboards that tie SHAP outputs to geospatial maps, and developed tooling to simplify AzureML and visualization workflows. With dual BS degrees in Mathematics and Materials Engineering from RPI, he blends rigorous quantitative reasoning with hands-on process-control and PLC experience dating back to undergraduate research. Colleagues describe him as a practical implementer who moves models from prototype to scalable systems while keeping usability and operational constraints front and center.
8 years of coding experience
4 years of employment as a software developer
Rice Memorial High School
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Rensselaer Polytechnic Institute
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