Casey Oppenheim is an Applied AI Engineer based in the New York City area who blends a dual background in Computer Science and Psychology to build human-centered AI and data solutions. With six years of experience across roles at Celonis and Publicis Sapient, Casey moves projects from prototype to production, specializing in process digital twins, SQL/Python data pipelines, and AI-driven product roadmaps for Retail and CPG. They regularly bridge technical and nontechnical stakeholders—leading hackathons, executive briefings, and enablement—to drive adoption and measurable value. Comfortable both in hands-on engineering and strategic product work, Casey focuses on making sophisticated AI accessible and operationally impactful. An uncommon strength is their psychology training, which they use to design solutions that anticipate user behavior and increase real-world uptake.
5 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science and Psychology, Graduated, Bachelor's degree, Computer Science and Psychology, Graduated at University of Maryland
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