Jonathan Wheeler
Optical Engineer at Northrop Grumman
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan Wheeler is an optical engineer with 12 years of experience blending academic research and defense-industry product development, currently designing advanced photonic systems at Northrop Grumman while pursuing gyro sensitivity improvements as a Stanford research assistant. He holds a PhD in Electrical Engineering from Stanford and a high-achieving multi-degree undergraduate background, reflecting strong analytical and experimental skills across optics, electronics, and computational analysis. Jonathan pairs hands-on lab work—characterizing fiber-optic gyros and Bragg grating filters—with software fluency, contributing backend improvements to the widely used Python units library pint to enhance unit-aware function robustness and compatibility. Comfortable moving between research, engineering, and tooling, he has a track record of automating workflows (including CLIs early in his career) and mentoring through academic roles, making him effective at turning complex physical requirements into reliable, testable systems.
11 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at Sheboygan North High SchoolBS, BSE, Physics, Mathematical Studies, Electrical Engineering, 3.96, BS, BSE, Physics, Mathematical Studies, Electrical Engineering, 3.96 at Andrews UniversityDoctor of Philosophy - PhD, Electrical Engineering, 3.9, Doctor of Philosophy - PhD, Electrical Engineering, 3.9 at Stanford University
Spanish
Github Skills (3)
python10
units-of-measurement10
numpy7
Programming languages (14)
Github contributions (5)
hgrecco/pint
Jul 2018 - Jul 2018
Operate and manipulate physical quantities in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 4 PRs, 54 comments in 7 days
Contributions summary:Jonathan contributed significantly to the `pint` library, focusing on improving its functionality and compatibility. Their work involved implementing features related to keyword argument handling and optional arguments in unit-aware functions, which directly relates to the core functionality of the library. They also worked on backward compatibility with older Python versions and added a Quantity.check function. These contributions highlight a focus on expanding functionality and ensuring robustness across different environments.
sarifpythonsciencebootstrappinghyphenation
jondoesntgit/hardware
Aug 2017 - Jul 2018
Python Wrappers for Hardware used in the Digonnet Lab at Stanford
Contributions:7 PRs, 78 pushes, 11 branches in 11 months
stanfordpythonhardwarewrapperslab
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