Andrew Stocker is a Visiting Assistant Professor and recent PhD in Mathematics with 12 years of experience spanning academic research, curriculum design, and technical product work. He blends deep mathematical expertise with hands-on software development—contributing backend improvements to the well-known py-ipfs-http-client to support recursive uploads and richer data handling. Andrew has taught across institutions (University of Colorado Boulder, Western Michigan, Kalamazoo College) and helped found an AI-focused startup, demonstrating an ability to translate theory into practical tools and courses. He also performs quality control on mathematics LLM training data, reflecting a growing interest at the intersection of education, computation, and AI. Based in Kalamazoo, Michigan, he brings a rare mix of rigorous research, classroom innovation, and open-source engineering.
12 years of coding experience
8 years of employment as a software developer
Mechanical Engineering, Mechanical Engineering at Rochester Institute of Technology
Bachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at University of San Francisco
High School, High School at Greenwich High School
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Colorado Boulder
Contributions:10 releases, 145 commits, 21 PRs in 11 months
Contributions summary:Andrew primarily contributed to the development of a Python client library for the IPFS API. Their work focused on implementing and refactoring core functionalities, including adding and loading files, and supporting recursive directory uploads. They also improved the library by providing helper methods for adding and retrieving JSON and Python objects, and they updated the code to handle various data encodings. Furthermore, the user appears to have added support for the get command and made minor code improvements.
Contributions:42 pushes, 1 branch in 4 years 1 month
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