AJ Cuddeback
Pathways Intern
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolAJ Cuddeback is a CU Boulder aerospace graduate student and Pathways Intern with nine years of diverse experience spanning remote sensing, data science, and full-stack software development. Trained in electrical and computer engineering at UVA, AJ has applied machine learning to high-energy physics and satellite imagery—building pipelines to detect Above Anvil Cirrus Plumes and developing neural nets for particle classification. Hands-on contributions to education and open-source include backend debugging for data-structure coursework and teaching roles that emphasize clear technical communication. Their work blends field-focused interests in opportunistic precipitation sensing and outdoor equity with practical systems skills in Express, MongoDB, and Vue. Comfortable moving between research, production code, and community leadership, AJ brings both technical rigor and a strong ethic around technology access and inclusivity.
9 years of coding experience
4 years of employment as a software developer
Summer Immersion Program, Computer Science, Summer Immersion Program, Computer Science at Girls Who CodeMaster of Science - MS, Aerospace Engineering, Third Year, Master of Science - MS, Aerospace Engineering, Third Year at University of Colorado BoulderBachelor's of Science, Electrical Engineering, Bachelor's of Science, Electrical Engineering at University of Virginia
English, Spanish
Github Skills (9)
algorithm10
data-structures10
algorithms10
c-language10
cprogramming-language10
data-structure10
binary-search-tree10
avl-tree10
html5
Programming languages (5)
Github contributions (5)
aaronbloomfield/pdr
Apr 2019 - May 2019
A repo for a Program and Data Representation university-level course
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits in 24 days
Contributions summary:AJ primarily contributed to the implementation and correction of tree-printing methods within binary search tree and AVL tree implementations. They fixed a bug in a previous commit that was related to the conditional statements within the tree-printing functions, showing an understanding of debugging and code correction. Additionally, the user fixed links in the `index.html` file, and updated the Kruskal's MST Algorithm slides.
representationpythondata-representationdata-science
acuddeback/annacuddeback
Dec 2018 - Jun 2022
Contributions:4 PRs, 30 pushes, 6 branches in 3 years 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.