Sam Sheckell is a Junior Divisional Project Engineer and fifth-year University of Michigan student double-majoring in Computer Science and Industrial & Operations Engineering, with eight years of hands-on experience across engineering, data, and sustainability projects. He has built production-ready tools and libraries—from a C++ optimization library used by multiple teams at Michigan Medicine to a Python data synthesis tool that halved analyst workload at Nissan—and developed a GAN to generate synthetic grid data for Utilidata. Comfortable bridging technical and cross-functional teams, Sam has led 25+ student project teams focused on socially-engaged design and net-zero initiatives while also coordinating operations and safety improvements in industrial settings. His work sits at the intersection of software, research data, and applied systems engineering, with a particular interest in libraries and humanities-informed information technology. Known for translating messy real-world problems into reproducible code and accessible data products, he prioritizes efficiency, sustainability, and community impact.
8 years of coding experience
1 year of employment as a software developer
CEA CAPA Education Abroad
Bachelor of Engineering - BE, Computer Science and Industrial and Operations Engineering, Bachelor of Engineering - BE, Computer Science and Industrial and Operations Engineering at University of Michigan
High School Diploma, High School Diploma at Ernest W. Seaholm High School
Containerization of ArchivesSpace for Kubernetes deployment
Contributions:73 pushes, 27 branches in 1 year 8 months
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Sam Sheckell - Junior Divisional Project Engineer at Tate