Steven Myint
Group Lead at NASA Jet Propulsion Laboratory
Pasadena, California, United States
Summary
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RockstarSteven Myint is a seasoned software leader with 14 years at NASA Jet Propulsion Laboratory, currently serving as Group Lead and driving flight and simulation software for Mars missions. He combines hands-on robotics and back-end development experience with leadership of operations simulation and flight software teams for high-stakes space missions like Mars 2020 and InSight. A pragmatic engineer, he contributes to Python open-source tooling—improving linters, formatters, and terminal-control libraries (pyflakes, pylint, autoflake, autopep8, pexpect)—with a focus on test automation, cross-version compatibility, and code quality. His contributions reveal an eye for reliability and maintainability, from adding unit tests for new Python features to modernizing examples for Python 3. Beyond mission-critical software, he brings deep expertise in ensuring tooling and frameworks behave predictably across diverse environments, an often overlooked but mission-essential skill. Based in Pasadena, he blends technical rigor with program-level leadership in aerospace software delivery.
14 years of coding experience
Github Skills (25)
static-code-analysis10
pytest10
python10
testing10
pexpect10
software-quality10
code-analysis10
pyflakes10
linter10
code-formatting10
test-automation10
code-migration9
debug9
develop9
git9
Programming languages (13)
Github contributions (5)
PyCQA/autoflake
Dec 2012 - Nov 2020
Removes unused imports and unused variables as reported by pyflakes
Role in this project:
Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:421 commits, 17 PRs, 83 pushes in 8 years
Contributions summary:Steven primarily contributed to the `autoflake` project by implementing features and addressing bugs related to removing unused imports and variables in Python code. Their work involved modifying existing code and adding unit tests to improve code quality and test coverage, specifically related to handling various import scenarios and ensuring compatibility with different Python versions. They also added features like support for expanding wildcard imports and removing duplicate keys, which directly enhanced the functionality of the autoflake tool.
linterpythonunusedunused-variablespyflakes
hhatto/autopep8
Jan 2013 - Sep 2017
A tool that automatically formats Python code to conform to the PEP 8 style guide.
Role in this project:Back-end Developer
Back-end DeveloperContributions:1023 commits, 20 PRs, 93 pushes in 4 years 9 months
Contributions summary:Steven primarily contributed to the Python-based `autopep8` project, a tool for automatically formatting Python code. Their commits focused on implementing and refining the logic for formatting code, especially addressing line-length issues. The contributions involved adding new strategies for line shortening and refactoring existing code. They also addressed and resolved various formatting issues identified by the `pycodestyle` tool.
python-codepythoncodeformatterpep8style-guide
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