pennlabs/penn-courses
Nov 2024 – Nov 2024
1 Month active
Languages Used
PythonTypeScript
Technical Skills
API DevelopmentBackend DevelopmentCode FormattingCron JobsDevOpsDjango
Shiva Menta
PROFILE
Shiva Menta
Shiva Menta contributed to the pennlabs/penn-courses repository by enhancing the reliability and efficiency of course data workflows. Using Python and Django, Shiva improved the web scraper to adapt to changes in website structure, ensuring accurate extraction of building location data. He implemented an hourly cron job for course status synchronization, which reduced redundant data requests and improved operational visibility through refined Slack notifications. Additionally, Shiva optimized backend data fetching by removing unnecessary prefetches, streamlining API responses. His work focused on backend development, code formatting, and DevOps practices, resulting in more maintainable and accurate course information for the platform.
Overall Statistics
Feature vs Bugs
25%Features
Repository Contributions
6Total
Bugs
3
Commits
6
Features
1
Lines of code
13
Activity Months1
Your Network
12 peopleShared Repositories
12
aking526Member
Clayton HickeyMember
Daniel LiMember
Jihun (James) DohMember
James DohMember
Daniel ZhaoMember
Christopher LiuMember
luke-rtMember
Anthony LiMember
Work History
November 2024
6 Commits • 1 Features
Nov 1, 2024November 2024 (pennlabs/penn-courses): Focused on reliability, efficiency, and maintainability of course data workflows. Delivered important feature enhancements, resolved data fetch issues, and improved developer experience. Business value was enhanced through more accurate course statuses and location data, reduced redundant data requests, and clearer operational visibility.
6 Commits • 1 Features
Nov 1, 2024November 2024 (pennlabs/penn-courses): Focused on reliability, efficiency, and maintainability of course data workflows. Delivered important feature enhancements, resolved data fetch issues, and improved developer experience. Business value was enhanced through more accurate course statuses and location data, reduced redundant data requests, and clearer operational visibility.
November 2024
Activity
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Quality Metrics
Correctness86.6%
Maintainability93.4%
Architecture90.0%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTypeScript
Technical Skills
API DevelopmentBackend DevelopmentCode FormattingCron JobsDevOpsDjangoWeb Scraping
Repositories Contributed To
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