
Contributed to the TEJ-Fellowship/pbl repository by building a quiz application with both frontend and backend enhancements over a two-month period. Established the project’s foundational architecture, set up folder structures, and implemented user onboarding flows, including landing page and signup features. Integrated AI-powered summarization and prompt-to-image capabilities to enrich quiz interactions, while stabilizing MongoDB backend services for reliable data handling. Addressed cross-origin security through CORS configuration and resolved key bugs affecting deletion and data consistency. Utilized JavaScript, React, and Node.js throughout, with a focus on clear documentation, requirements gathering, and aligning user experience with business value in each development phase.
August 2025 (TEJ-Fellowship/pbl): Delivered foundational project scaffolding, feature-rich frontend/backend enhancements, and stability improvements across data, authentication, and AI capabilities. Focused on delivering business value through scalable architecture, reliable user onboarding, and measurable backend reliability.
August 2025 (TEJ-Fellowship/pbl): Delivered foundational project scaffolding, feature-rich frontend/backend enhancements, and stability improvements across data, authentication, and AI capabilities. Focused on delivering business value through scalable architecture, reliable user onboarding, and measurable backend reliability.
Month: 2025-07 — TEJ-Fellowship/pbl. This month focused on foundational work for the Quiz module, delivering documentation to clarify requirements and user perspectives, plus initial UI groundwork to support rapid development and testing. No major bugs reported in scope. The work enhances user journey clarity, accelerates subsequent iterations, and sets the stage for a polished quiz experience.
Month: 2025-07 — TEJ-Fellowship/pbl. This month focused on foundational work for the Quiz module, delivering documentation to clarify requirements and user perspectives, plus initial UI groundwork to support rapid development and testing. No major bugs reported in scope. The work enhances user journey clarity, accelerates subsequent iterations, and sets the stage for a polished quiz experience.

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