Ankit Shah is a results-driven Industrial Engineering professional and project manager with 8 years of experience blending manufacturing, supply chain analytics, and program management across global firms like Amazon and Siemens. Currently leading a GESS startup program at Amazon, he brings hands-on expertise in operations planning, vendor management, and process improvement—from designing baggage handling systems to driving last-mile UTR planning. His academic foundation (M.S. Industrial Engineering, NC State) and prior teaching roles sharpen his analytical toolkit in modeling, SQL/R, and data-driven decision making. Ankit also contributes to open-source education tooling as a back-end developer on Expertiza, where he implemented a peer-review badge system that links assessment logic to user incentives—revealing a knack for translating complex rules into production software. Based in San Diego, he combines technical engineering roots (B.Tech. Mechanical) with program leadership to optimize cross-functional delivery in high-stakes logistics and manufacturing environments.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Industrial Engineering, Master's degree, Industrial Engineering at North Carolina State University
Bachelor of Technology (B.Tech.), Mechanical Engineering, A, Bachelor of Technology (B.Tech.), Mechanical Engineering, A at Dwarkadas J. Sanghvi College of Engineering
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
Role in this project:
Back-end Developer
Contributions:13 commits, 2 PRs in 22 days
Contributions summary:Ankit primarily contributed to the implementation of a badge system within the Expertiza application. Their work included adding features to create and modify assignments, including logic for two badge types: "Good Teammate" and "Good Reviewer". They also added logic to calculate and award the badges based on peer review scores and instructor input, with contributions in models, controllers, and views.
Contributions:36 commits, 4 pushes, 1 branch in 6 months
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