Lareine Jeng is a software engineer based in the San Francisco Bay Area with eight years of experience building scalable consumer-facing Android products and AI research systems. At Google she helps drive the flagship Business Messages Android experience, shipping high-impact features and participating in hiring, while earlier roles at The AI Foundation involved developing CNNs, GANs, and NLP/speech models. She brings a strong algorithms background—evidenced by a public Python data structures & algorithms cheat sheet and implementations of graph and DP algorithms—and a track record of coaching and teaching, from training an IOI national team to instructing AP STEM courses. Notably, she co-authored a neuroscience publication at 17, reflecting an early and sustained blend of research rigor and practical engineering.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science in Engineering, Minor in Computer Science, Bachelor of Science in Engineering, Minor in Computer Science at The Cooper Union for the Advancement of Science and Art
Contributions:6 reviews, 38 commits, 4 PRs in 8 months
Contributions summary:Lareine primarily contributed to the development of data structures and algorithms, as indicated by the "cheat sheet" repository. Their work involved implementing algorithms such as binary search, Wagner-Fischer, and graph algorithms (Dijkstra, Floyd-Warshall, Kruskal's). The user also updated and refactored code related to memoization and tree traversals. The contributions mainly focused on Python code implementations.
Contributions:17 commits, 16 pushes, 1 branch in 4 months
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