Aditi Juneja
India
Summary
🤩
Rockstar🎓
Top SchoolAditi Juneja is a software engineer with four years of experience specializing in data-driven back-end development and algorithmic clarity. A graduate of IIT Madras and Delhi University in data science and computer science, she combines strong academic foundations with practical open-source contributions. Notably, she has improved core documentation, tests, and edge-case handling for the widely used NetworkX library, enhancing Traveling Salesman Problem examples and self-loop handling to make graph algorithms more robust and accessible. Based in India, she is actively learning and refining her craft, focusing on making complex algorithms easier for other developers to adopt.
4 years of coding experience
Indian Institute of Technology Madras92.6%, 92.6% at St. Cecilia's Public SchoolUniversity of Delhi
Github Skills (7)
graph-algorithms10
python10
documentation10
graph-theory10
testing9
graph-analysis9
complex-networks8
Programming languages (9)
Github contributions (5)
networkx/networkx
Oct 2023 - Mar 2025
Network Analysis in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:146 reviews, 61 PRs, 23 pushes in 1 year 6 months
Contributions summary:Aditi primarily focused on improving the documentation and adding examples to core algorithms related to graph theory and network analysis. They updated documentation for Traveling Salesman Problem (TSP) algorithms, added notes on edge cases, and enhanced function documentation and examples within the core module. The user also addressed self-loop handling and updated tests, demonstrating a focus on improving the robustness and clarity of the library's core functionality. These changes indicate a focus on refining and clarifying existing algorithms.
graph-analysispythoncomplex-networksgraph-theorygraph-visualization
Schefflera-Arboricola/nx-parallel
Oct 2023 - Dec 2024
Contributions:3 PRs, 308 pushes, 55 branches in 1 year 2 months
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