March 2025 performance highlights for ISPP-Eventbride/Eventbride: Delivered a centralized EventProperties data model that unifies Event, OtherService, and Venue, enabling end-to-end management of events with services and venues. Implemented CRUD repositories, services, and controllers for Event and EventProperties; added ability to attach/detach services and venues; support for updating price and booking date; and endpoints to approve/reject services. Introduced pricing and availability attributes to Service and EventProperties, plus backend workflow for accepting/rejecting services. Launched user-facing UI: frontend modals to add other services to events and supplier requests interface to view/confirm/reject incoming service requests. Environment stabilization: migrated default database to MySQL, refined DDL handling, and cleaned seed data to reflect the new schema. These changes improved data integrity, reduced setup friction, and enabled faster, more reliable decision-making around pricing and supplier onboarding. Technologies demonstrated include data modeling, CRUD architecture, API design, frontend-backend integration, database migrations, and seed data management.

In December 2024, delivered a robust AI Chatbot experience with user access controls, improved backend stability and code quality, and enhanced test coverage to reduce risk and accelerate releases. This work directly supports secure, scalable user engagement and reliable product delivery across the hub.

2024-11 Monthly Summary Key features delivered: - Dataset Rating System: Delivered an end-to-end user-facing ratings feature with a new ratings table, computed average ratings, seeded data, endpoints for posting and retrieving ratings, and a UI for submitting and viewing ratings to support dataset quality feedback and discovery. Notable commits include 17716d08118ea975082bfe5e0316ae9f481d9107 (seed ratings), dbb90b474384ada412f08061c067169dfdf9fa2a (get datasets), cb7168b77dbc3a2b93f57abf7097b7c0e64c16ca (post ratings and average rating), and 2769abd963d41111d9e2348c3234a86ca866e159 (fix: create ratings). - CI/CD Pipeline Enhancements: Implemented automated workflows for tests, security audits, coverage reporting, and deployment to Render, improving release quality and speed (commit 09fde9d04c3c6dfb47193c4b960ad077763e57a8). - Chatbot Integration with Google Gemini: Added a chatbot feature with a UI route and page enabling text generation interactions via Google Gemini (commit 909cd4619a6f25191cccc753112e6d9d292bfe90). Major bugs fixed: - Ratings creation robustness: fixed edge cases in rating creation to ensure consistent aggregation and seed alignment (commit 2769abd963d41111d9e2348c3234a86ca866e159). Overall impact and accomplishments: - Delivered end-to-end features that enhance dataset quality feedback loops, improve dataset discovery, and expand user engagement through a Gemini-powered chatbot. Strengthened release reliability with automated CI/CD and deployment to Render, enabling faster, safer product iterations. Technologies and skills demonstrated: - Database schema design and seeding, API development for ratings (post/get/average), UI integration for ratings, GitHub Actions-based CI/CD, security auditing and coverage tooling, deployment automation to Render, and Google Gemini integration for conversational AI.