Justin Gosses
Senior Software Engineer at Microsoft
Houston, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolJustin Gosses is a Senior Software Engineer at Microsoft with a decade of experience building developer-focused, production-ready systems that prioritize safety and low toil. He transitioned from a geology background and senior roles in data science and program management to specialize in open source, InnerSource, and DevOps practices that scale across large engineering organizations. Justin has hands-on experience deploying cloud services (notably contributing deployment and AWS Elastic Beanstalk integration for NASA’s APOD API) and applies machine learning and data visualization to make data accessible and actionable. Known for improving developer experience at scale, he blends technical depth with program-level coordination to reduce friction for thousands of internal developers. Based in Houston, he pairs formal geoscience training with continuous Python education to tackle cross-disciplinary problems and build practical, community-oriented tooling.
10 years of coding experience
9 years of employment as a software developer
Master's degree Geology/Earth Science, Master's degree Geology/Earth Science at University of Wisconsin-MadisonBachelor's degree Geology/Earth Science General, Bachelor's degree Geology/Earth Science General at Franklin & Marshall CollegePython Programming Language, Python Programming Language at Online classes through Coursera and Rice University
English, Spanish
Github Skills (8)
beanstalkd10
api10
python10
apidoc10
flask10
flask-ask10
aws9
astronomy8
Programming languages (19)
Github contributions (5)
nasa/apod-api
Jan 2019 - Jun 2021
Astronomy Picture of the Day API service
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:3 releases, 35 commits, 14 PRs in 2 years 5 months
Contributions summary:Justin primarily contributed to the deployment and configuration of the Astronomy Picture of the Day API service. Their commits focused on integrating the application with AWS Elastic Beanstalk, indicating a DevOps focus. The changes include modifying the `application.py` file to accommodate the deployment environment. Further commits suggest this user also worked on general bug fixes.
apiastrologyastronomy-picturepythonastronomy-picture-of-the-day
nasa/concept-tagging-training
Jun 2020 - Jul 2021
Contains code for training NLP models that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. Code for the API that uses models trained by this repo is in `concept-tagging-api` repository.
Contributions:14 commits, 9 PRs, 9 pushes in 1 year 1 month
trainingnlp-modelsconcept-taggingnatural-language-processingkeywords
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