
Michael Cui developed robust backend and frontend features for the ubc-biztech/serverless-biztechapp and bt-web-v2 repositories, focusing on team scoring, submission workflows, and interactive user dashboards. He engineered end-to-end feedback and judging systems using TypeScript, Node.js, and AWS DynamoDB, introducing new endpoints for feedback submissions, real-time data retrieval, and error handling. On the frontend, Michael delivered dynamic year-in-review dashboards and polished UI animations with React and Tailwind CSS, enhancing user engagement and data visualization. His work demonstrated depth in both serverless architecture and UI/UX development, resulting in more reliable operations, streamlined workflows, and improved user experience across platforms.

March 2025 performance overview: Delivered substantial improvements to feedback and judging workflows across serverless backend and BT Web UI, driving faster feedback cycles, richer rubric data, and more reliable cross-service operations. Key feature work spanned serverless enhancements for feedback submissions and scoring, current team retrieval, and a DynamoDB table name fix, plus multiple BT Web V2 improvements focused on real-time judging data, user pages with team management, rubric/feedback presentation, and UI polish.
March 2025 performance overview: Delivered substantial improvements to feedback and judging workflows across serverless backend and BT Web UI, driving faster feedback cycles, richer rubric data, and more reliable cross-service operations. Key feature work spanned serverless enhancements for feedback submissions and scoring, current team retrieval, and a DynamoDB table name fix, plus multiple BT Web V2 improvements focused on real-time judging data, user pages with team management, rubric/feedback presentation, and UI polish.
February 2025 — ubc-biztech/bt-web-v2: Delivered the Wrapped Year-in-Review feature with new landing and summary pages and per-user interaction dashboards (badges, companies, connections, networking) plus polished UI animations to drive engagement and retention. Completed end-to-end delivery from skeleton to full implementation. Resolved a visual layout bug by removing fixed positioning on a div, restoring natural layout and correct logo display across views. Impact: improved user engagement, smoother onboarding for the year-in-review experience, and greater UI stability. Skills demonstrated: front-end architecture, UI/UX polish, CSS/layout fixes, animation, and iterative code quality.
February 2025 — ubc-biztech/bt-web-v2: Delivered the Wrapped Year-in-Review feature with new landing and summary pages and per-user interaction dashboards (badges, companies, connections, networking) plus polished UI animations to drive engagement and retention. Completed end-to-end delivery from skeleton to full implementation. Resolved a visual layout bug by removing fixed positioning on a div, restoring natural layout and correct logo display across views. Impact: improved user engagement, smoother onboarding for the year-in-review experience, and greater UI stability. Skills demonstrated: front-end architecture, UI/UX polish, CSS/layout fixes, animation, and iterative code quality.
November 2024 monthly summary for ubc-biztech/serverless-biztechapp: Delivered the Team Scoring and Submission Workflow, including new endpoints to update team points, bulk QR scans with per-scan points, and a timestamped final submission trail to enable auditing. Refactored questions storage and teams data model: dataverse questions stored in scannedQRs, clarified question-answers lifecycle, and cleaned up naming conventions. Improved resilience by removing the error on non-unique questions and hardening handling when no new questions are found. Results: end-to-end scoring lifecycle is robust and auditable, enabling accurate team progress tracking and faster submission cycles.
November 2024 monthly summary for ubc-biztech/serverless-biztechapp: Delivered the Team Scoring and Submission Workflow, including new endpoints to update team points, bulk QR scans with per-scan points, and a timestamped final submission trail to enable auditing. Refactored questions storage and teams data model: dataverse questions stored in scannedQRs, clarified question-answers lifecycle, and cleaned up naming conventions. Improved resilience by removing the error on non-unique questions and hardening handling when no new questions are found. Results: end-to-end scoring lifecycle is robust and auditable, enabling accurate team progress tracking and faster submission cycles.
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