Anish Kudupudi is a software engineer and University of Michigan sophomore specializing in Intelligent Systems with a statistics minor, bringing five years of hands-on experience in machine learning and back-end development. He has led and taught ML projects—building a ResNet-50 transfer-learning pipeline, data augmentation strategies, and interpretability tooling like Grad-CAM—for student teams while producing curricula for beginners. His practical research and internships span automotive and industrial settings (UMTRI, Gentex) and financial software at JPMorgan Chase, demonstrating an ability to move models from prototype to applied environments. Anish contributes to notable open-source work on arrow-py, improving date/time parsing via refactoring, multilingual tests, and documentation—highlighting attention to code quality and user experience. He combines a curiosity for AI and quantitative CS with a track record of mentoring peers and shipping reproducible ML systems.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at University of Michigan College of Engineering
Contributions:1 release, 62 reviews, 40 commits in 8 months
Contributions summary:Anish primarily contributed to the implementation and refactoring of the `dehumanize` method within the `arrow-py/arrow` repository, which focuses on improved date and time handling in Python. Their work involved writing new methods, adding comprehensive test cases across multiple locales, and refactoring existing code for better support. They also addressed grammatical errors, fixed linting issues, and updated documentation, demonstrating a focus on code quality and user experience.
Contributions:9 pushes, 1 branch in 3 years 10 months
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Anish Kudupudi - Software Engineer Intern at JPMorganChase