Tianyi Zheng is a UCSD MS in Computer Science and a versatile engineer with five years of experience spanning research, teaching, and production internships at AWS. He has applied distributed systems and backend skills at AWS Fargate, CloudFront, and DocumentDB while contributing to research in Dr. Berg-Kirkpatrick’s lab and TAing graduate-level probabilistic reasoning courses. A frequent open-source contributor, Tianyi made substantial refactors and tests to the widely used TheAlgorithms/Python repo—particularly improving linear algebra modules and mathematical utilities. He pairs solid practical experience in large-scale cloud services with a strong academic foundation in CS and Statistics from the University of Pittsburgh. Notably, he has taught across CS and linguistics courses and even guest-lectured on deep learning language models, reflecting an ability to communicate complex ideas to diverse audiences.
5 years of coding experience
1 year of employment as a software developer
University of California, San Diego
High School Diploma, High School Diploma at Tesoro High School
Stanford Summer Session
Bachelor of Science - BS Computer Science & Statistics, Bachelor of Science - BS Computer Science & Statistics at University of Pittsburgh
Contributions:849 reviews, 15 commits, 558 PRs in 1 year 2 months
Contributions summary:Tianyi primarily contributed to the `linear_algebra` module by refactoring and reorganizing methods within the `Vector` and `Matrix` classes. They implemented unit tests for new methods and renamed existing methods to follow Python naming conventions. Furthermore, they merged and refactored the `fibonacci.py` files while rewriting and merging other methods related to maths. The user also updated the `README.md` files to reflect the code changes.
Contributions:49 pushes, 5 branches in 2 years 11 months
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