CISC375/SageTeamY
Mar 2025 – May 2025
2 Months active
Languages Used
JavaScriptTypeScriptXML
Technical Skills
Build System ConfigurationDiscord Bot DevelopmentNode.jsProject ManagementAPI IntegrationBackend Development
Chris
PROFILE
Chris
Chris Y. contributed to the CISC375/SageTeamY repository by expanding the job application workflow and refining job search functionality over a two-month period. He enhanced the application form to capture richer candidate data, updating both the question set and build configurations to support the new structure. In a separate feature, Chris improved the Adzuna Job Search API integration by introducing static and dynamic interest parameters, a filter for unwanted job titles, and adjustments to result pagination for better relevance. His work demonstrated proficiency in Node.js, TypeScript, and backend development, delivering targeted improvements without reported bugs and ensuring maintainable, well-structured code changes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,975
Activity Months2
Your Network
38 peopleSame Organization
@udel.edu21
butlerpdMember
BENJAMIN ZLATINMember
Toby DriscollMember
Hairum QureshiMember
Jessica CunninghamMember
John AromandoMember
Jason MartinezMember
KaranvirMember
kendellMember
Work History
May 2025
1 Commits • 1 Features
May 1, 2025Month 2025-05 summary for CISC375/SageTeamY focusing on delivering refinements to Adzuna Job Search API integration. Implemented static 'Computer Science' interest, expanded the 'what_or' parameter to include static and dynamic interests, introduced a 'what_exclude' filter to filter out unwanted job titles, and reduced the number of results per page to improve relevance and performance. No major bug fixes this month; primary value came from feature refinements improving relevance and search performance. Commit reference: d2b919346207d830f8947253faa802914566d72e.
1 Commits • 1 Features
May 1, 2025Month 2025-05 summary for CISC375/SageTeamY focusing on delivering refinements to Adzuna Job Search API integration. Implemented static 'Computer Science' interest, expanded the 'what_or' parameter to include static and dynamic interests, introduced a 'what_exclude' filter to filter out unwanted job titles, and reduced the number of results per page to improve relevance and performance. No major bug fixes this month; primary value came from feature refinements improving relevance and search performance. Commit reference: d2b919346207d830f8947253faa802914566d72e.
May 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025In March 2025, delivered a targeted enhancement to the SageTeamY job application workflow, expanding the question set to capture richer candidate information and updating build configurations to support the new form structure. This included adding new questions to the job application form and aligning project/build files to accommodate the changes (commit b69b5a4a51c7a4e97c9c25addbdb748e32ab0e48, message: 'added new questions'). No major bugs were reported for this repository in the period. The changes improve data quality for screening, reduce manual data backfill, and streamline rollout through updated build setup. This work demonstrates proficiency in front-end form configuration, data model expansion, and build configuration management, with solid version control discipline.
March 2025
1 Commits • 1 Features
Mar 1, 2025In March 2025, delivered a targeted enhancement to the SageTeamY job application workflow, expanding the question set to capture richer candidate information and updating build configurations to support the new form structure. This included adding new questions to the job application form and aligning project/build files to accommodate the changes (commit b69b5a4a51c7a4e97c9c25addbdb748e32ab0e48, message: 'added new questions'). No major bugs were reported for this repository in the period. The changes improve data quality for screening, reduce manual data backfill, and streamline rollout through updated build setup. This work demonstrates proficiency in front-end form configuration, data model expansion, and build configuration management, with solid version control discipline.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScriptXML
Technical Skills
API IntegrationBackend DevelopmentBuild System ConfigurationDiscord Bot DevelopmentNode.jsProject Management
Repositories Contributed To
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