Lanyue Zhang - Software Development Engineer at Amazon

Lanyue Zhang

Software Development Engineer at Amazon

United States

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Summary

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Rockstar

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Top School

Lanyue Zhang is a software development engineer and computational mathematician with four years of experience bridging research-grade algorithm design and production software engineering. With a B.S. from the University of Washington and an M.S. underway at Columbia Engineering, she has published work improving the robustness of the SINDy sparse identification algorithm and automated large-scale hyperparameter studies that cut runtimes tenfold. Her toolkit spans Java, Python, C, SQL, R, MATLAB, PyTorch and Azure, and she has contributed backend and test automation improvements to the pysindy open-source project. Project highlights include a C memory-management package, an AI-driven PacMan agent, and a production-minded vaccination reservation web app, demonstrating both low-level systems skill and applied ML. Colleagues can expect a methodical engineer who pairs rigorous computational research with pragmatic software delivery at scale.

4 years of coding experience

1 year of employment as a software developer

Bachelor of Science - BS, Applied Computational Mathematical Science - Discrete Math & Algorithm, 3.87, Bachelor of Science - BS, Applied Computational Mathematical Science - Discrete Math & Algorithm, 3.87 at University of Washington

Master of Science - MS, Computer Science, 3.9, Master of Science - MS, Computer Science, 3.9 at Columbia Engineering

Chinese, English

Stackoverflow

Stats

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0reached

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Github Skills (4)

machine-learning10

python10

testing10

pytest9

Programming languages (1)

Python

Github contributions (5)

dynamicslab/pysindy

Feb 2022 - Dec 2022

A package for the sparse identification of nonlinear dynamical systems from data

Role in this project:

Backend Developer & Test Automation Engineer

Contributions:31 commits, 27 pushes in 9 months

Contributions summary:Lanyue implemented tuple inputs for `x` and `x_dot` in the `pysindy.py` file and wrote corresponding tests in `test/test_pysindy.py`. They added tuple handling in the PDE and Weak PDE cases, raising errors for invalid inputs and writing tests for those cases. The user also fixed linting issues, indicating attention to code quality and style.

nonlinear-dynamicsnonlinearstructural-engineeringsparse-regressiondynamical-systems

OliviaZ0826/RailsIntro

Sep 2023 - Oct 2023

Contributions:3 pushes, 1 branch in 2 days

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