Brian De Silva
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolBrian De Silva is an applied scientist based in Seattle with 11 years of experience at the intersection of NLP, zero- and few-shot learning, and applied mathematics. Currently at Amazon, he combines deep academic training (PhD and MS in Applied Mathematics from the University of Washington) with hands-on software engineering experience from internships at Facebook and contributions to open-source projects like pysindy, where he refactored core functionality and reorganized project structure. He enjoys learning and problem solving, mentoring others, and translating research ideas into production-ready code. Notably, his background spans both theoretical dynamical-systems tooling and practical NLP systems, giving him a bridge between principled modeling and scalable implementation.
11 years of coding experience
1 year of employment as a software developer
Master’s Degree, Applied Mathematics, Master’s Degree, Applied Mathematics at University of WashingtonUniversity of California, Los Angeles
Spanish
Github Skills (3)
refactoring10
python10
maintainability10
Programming languages (2)
Github contributions (5)
dynamicslab/pysindy
May 2019 - Dec 2021
A package for the sparse identification of nonlinear dynamical systems from data
Role in this project:
Backend Developer
Backend DeveloperContributions:24 releases, 40 reviews, 413 commits in 2 years 7 months
Contributions summary:Brian primarily refactored and updated the core functionality of the project, specifically focusing on renaming the project to "sindy" and updating import statements in multiple example files. These changes included renaming the top-level module and updating import statements, reflecting a fundamental shift in project structure. The commits demonstrate the user's contribution to maintaining the project's core code base, with the most significant changes concentrated in the central module.
nonlinear-dynamicsnonlinearstructural-engineeringsparse-regressiondynamical-systems
dynamicslab/pysensors
Jun 2020 - Sep 2022
PySensors is a Python package for sparse sensor placement
Contributions:9 releases, 221 commits, 4 PRs in 2 years 2 months
pythonplacementsparsesensorpython-package
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