
Over three months, Andrew Chiu contributed to the cse110-sp25-group3 repository by building and enhancing a browser-based resume parsing system. He developed both Node.js and client-side JavaScript modules to extract structured data from PDF resumes, automating candidate screening and improving data accuracy for recruitment workflows. Andrew implemented object-oriented parsing utilities, integrated regular expressions for data extraction, and added confidence scoring to parsed results. He also improved repository maintainability by cleaning up assets, enhancing documentation, and streamlining deployment with GitHub Actions and CI/CD workflows. His work demonstrated depth in front-end development, PDF parsing, and sustainable software engineering practices.
June 2025 monthly summary for cse110-sp25-group3. Delivered end-to-end resume parsing improvements, expanded client-side capabilities, and streamlined deployment, resulting in faster candidate processing, better data accuracy, and a more maintanable CI/CD workflow.
June 2025 monthly summary for cse110-sp25-group3. Delivered end-to-end resume parsing improvements, expanded client-side capabilities, and streamlined deployment, resulting in faster candidate processing, better data accuracy, and a more maintanable CI/CD workflow.
May 2025 Monthly Summary for cse110-sp25-group3: Delivered a new Resume Parser feature to automate extraction of candidate data from PDF resumes, enabling faster screening and standardized data for recruitment workflows. Implemented a reusable ResumeParser class with methods to extract contact, experience, education, skills, and projects, plus a parsing utility to output JSON and optionally save to file. This work improves HR efficiency and supports automated pipelines.
May 2025 Monthly Summary for cse110-sp25-group3: Delivered a new Resume Parser feature to automate extraction of candidate data from PDF resumes, enabling faster screening and standardized data for recruitment workflows. Implemented a reusable ResumeParser class with methods to extract contact, experience, education, skills, and projects, plus a parsing utility to output JSON and optionally save to file. This work improves HR efficiency and supports automated pipelines.
April 2025 monthly summary for cse110-sp25-group3: Delivered two key features focused on maintainability and documentation discoverability, with no user-facing bugs reported this month. Admin video asset cleanup removed an unused asset (admin/video/teamintro.mp4) to reduce clutter and potential confusion; this also included scaffolding additions (/source and /specs) to support future demos and audits. Team documentation discovery enhancement improved onboarding and knowledge sharing by adding a README link to the team page and introducing two scaffolding files to boost documentation visibility. These changes reduce maintenance risk, streamline admin workflows, and accelerate team onboarding. Technologies demonstrated include Git-based version control, repository hygiene, and documentation scaffolding to support sustainable development.
April 2025 monthly summary for cse110-sp25-group3: Delivered two key features focused on maintainability and documentation discoverability, with no user-facing bugs reported this month. Admin video asset cleanup removed an unused asset (admin/video/teamintro.mp4) to reduce clutter and potential confusion; this also included scaffolding additions (/source and /specs) to support future demos and audits. Team documentation discovery enhancement improved onboarding and knowledge sharing by adding a README link to the team page and introducing two scaffolding files to boost documentation visibility. These changes reduce maintenance risk, streamline admin workflows, and accelerate team onboarding. Technologies demonstrated include Git-based version control, repository hygiene, and documentation scaffolding to support sustainable development.

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