Alexander Martin
SYS1 Operations Engineer
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Martin is a multidisciplinary avionics and operations engineer with 11 years of experience designing and integrating space-worthy systems at SpaceX, blending mechanical design, project management, and hands-on avionics integration. He brings a breadth-first approach—assembling cross-functional teams and creative solutions to improve manufacturing, ergonomics, and the human experience of spaceflight. A practiced programmer and open-source contributor, he has enhanced UI and widget functionality in the popular Streamlit project, bridging software and hardware domains. Trained in both mechanical engineering and violin performance at Northwestern, he combines rigorous technical discipline with creative problem-solving and a knack for puzzles and systems thinking. Based in Los Angeles, he thrives on turning complex, multidisciplinary requirements into practical, mission-ready solutions.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Music, Violin Performance, 3.91, Bachelor of Music, Violin Performance, 3.91 at Northwestern UniversityThe Ohio State UniversityOhio Virtual Academy
English, Latin
Github Skills (8)
front-end-development10
python10
data-visualization8
data-visualisation8
data-visualizations8
react8
data-science7
data-analysis7
Programming languages (7)
Github contributions (5)
streamlit/streamlit
Jun 2023 - Feb 2025
Streamlit — A faster way to build and share data apps.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:42 reviews, 10 PRs, 262 comments in 1 year 9 months
Contributions summary:Alexander primarily contributed to the Streamlit library by implementing and improving widget features and their type hinting. They worked on enhancing query parameter functionality with an update method and `from_dict` functionality. Additional contributions include adding a skeleton placeholder element and refactoring existing elements. They demonstrated their skills by modifying UI elements, adding new functionality, and refactoring code related to the core functionality of the app.
data-analysispythondata-sciencedeep-learningfastest
nusolar/NUsolar-CAN
Jan 2015 - Sep 2017
Contributions:70 pushes, 11 branches, 1 tag in 2 years 8 months
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