
Over a three-month period, contributed to unb-mds/2025-1-NoFluxoUNB by building curriculum data integration, material management, and advanced planning tools for academic program management. Leveraged Svelte, TypeScript, and Python to deliver features such as AI-assisted data processing, PDF parsing, and graph-driven subject planning with topological sorting. Enhanced both backend and frontend systems to support reliable data ingestion, deduplication, and workload-aware updates, while improving user onboarding and authentication flows. Focused on robust UI/UX improvements, scalable data pipelines using Supabase, and interactive visualizations, resulting in more accurate, maintainable, and user-friendly curriculum management for educational stakeholders.
April 2026 performance summary for unb-mds/2025-1-NoFluxoUNB. Focused on delivering value through UX improvements, elective planning integration, and robust graph-driven planning capabilities, while stabilizing core interactions on mobile and with AI-assisted features. Key accomplishments across features and fixes include: - Local History UI and Optativa calculation changes: enhanced UI to show pending local-history items in optativas, tightened isOptativa logic, store/persistence improvements, and related data derivations; commits 00171956966f92e2dd5d94dd8a8b34658bad7445. - Optativas flowchart improvements with topological sorting groundwork: reworked optativas in the fluxograma and laid the foundation for graph-based topology using Tarjan SCCs and Kahn ordering; commits 47cf4110261f8b5dc271d02b02762aae2632813e and 678b349c01230ef024b880a24cf7eb27f74368f0 (and related context in 5c1b96379cf2bb8703174426ec5523bf2d89553c). - Roadmap and subject graph integration: introduced roadmap for materia and integrated topological considerations into subject planning; commit fd73db81ca91f3b4174a566698953d6fb39f0ea1. - UX/UI and interaction enhancements across disciplines: clarified interaction UX and updated SubjectCard logic; disciplines screen refactor and new discipline cards; commits 6330960da9c5af36d213cc941fdfe25d51a992e5, 95dc1bb4487ff3f4730114f26976c1c46ca33d74, 2a1a37b4ddc0f829539bface94ebe2c698e1c0e4, fc42f184692d641f42213247cb9e4abf8b01e410, f1604ebd333829c553c95ed07d1d8a266b9cdb73. - UI/UX improvements on discplines screens, including visual refresh and card-based discipline representations; commit fc42f184692d641f42213247cb9e4abf8b01e410 and 95dc1bb4487ff3f4730114f26976c1c46ca33d74 (and related cards commit 2a1a37b4ddc0f829539bface94ebe2c698e1c0e4). - Mobile fluxogram interaction bug fix and related card behavior fixes: improved mobile interaction reliability and clarified click behaviors; commits f86a1d4048efbcdd98184e2ef94d1c66309bdd5b, f4b46aaf4719483ed7f5fb54402a8c18f1ca87f8, 8b102d49c32d564c55b302944b5db3a415cba70a. - Drag-to-scroll for roadmap carousels with pointer input and inertial scrolling: introduced drag-to-scroll UX for roadmap containers to enhance navigation; commits c444ddcdff1afb3853df835882c149a47a764e77 and 94d7e0df0ca26ded824a5bd34d71917cfd1d1a1f. - AI and data scraping/tools enhancements including new Darcy AI model and cleanup of obsolete scraping scripts: commits f1f6d6414fbe61606c7040fc98945f340658dc09 and 5f3a90e3662e148b3c076b2e813eb3bf45992790.
April 2026 performance summary for unb-mds/2025-1-NoFluxoUNB. Focused on delivering value through UX improvements, elective planning integration, and robust graph-driven planning capabilities, while stabilizing core interactions on mobile and with AI-assisted features. Key accomplishments across features and fixes include: - Local History UI and Optativa calculation changes: enhanced UI to show pending local-history items in optativas, tightened isOptativa logic, store/persistence improvements, and related data derivations; commits 00171956966f92e2dd5d94dd8a8b34658bad7445. - Optativas flowchart improvements with topological sorting groundwork: reworked optativas in the fluxograma and laid the foundation for graph-based topology using Tarjan SCCs and Kahn ordering; commits 47cf4110261f8b5dc271d02b02762aae2632813e and 678b349c01230ef024b880a24cf7eb27f74368f0 (and related context in 5c1b96379cf2bb8703174426ec5523bf2d89553c). - Roadmap and subject graph integration: introduced roadmap for materia and integrated topological considerations into subject planning; commit fd73db81ca91f3b4174a566698953d6fb39f0ea1. - UX/UI and interaction enhancements across disciplines: clarified interaction UX and updated SubjectCard logic; disciplines screen refactor and new discipline cards; commits 6330960da9c5af36d213cc941fdfe25d51a992e5, 95dc1bb4487ff3f4730114f26976c1c46ca33d74, 2a1a37b4ddc0f829539bface94ebe2c698e1c0e4, fc42f184692d641f42213247cb9e4abf8b01e410, f1604ebd333829c553c95ed07d1d8a266b9cdb73. - UI/UX improvements on discplines screens, including visual refresh and card-based discipline representations; commit fc42f184692d641f42213247cb9e4abf8b01e410 and 95dc1bb4487ff3f4730114f26976c1c46ca33d74 (and related cards commit 2a1a37b4ddc0f829539bface94ebe2c698e1c0e4). - Mobile fluxogram interaction bug fix and related card behavior fixes: improved mobile interaction reliability and clarified click behaviors; commits f86a1d4048efbcdd98184e2ef94d1c66309bdd5b, f4b46aaf4719483ed7f5fb54402a8c18f1ca87f8, 8b102d49c32d564c55b302944b5db3a415cba70a. - Drag-to-scroll for roadmap carousels with pointer input and inertial scrolling: introduced drag-to-scroll UX for roadmap containers to enhance navigation; commits c444ddcdff1afb3853df835882c149a47a764e77 and 94d7e0df0ca26ded824a5bd34d71917cfd1d1a1f. - AI and data scraping/tools enhancements including new Darcy AI model and cleanup of obsolete scraping scripts: commits f1f6d6414fbe61606c7040fc98945f340658dc09 and 5f3a90e3662e148b3c076b2e813eb3bf45992790.
March 2026 performance summary for unb-mds/2025-1-NoFluxoUNB. Delivered core MVP UI foundation with navigation and screenshot improvements, initiated AI integration, and expanded curriculum tooling, while strengthening onboarding paths and data infrastructure. Key business outcomes include improved user onboarding (anonymous mode and default post-login flow), enhanced data quality (PDF parsing and text normalization), and a scalable data ingestion pipeline via Supabase scripts. Addressed critical authentication and repo hygiene issues to improve security and maintainability. The month demonstrated strong proficiency in frontend UX, backend data integration, and cross-functional collaboration, setting a solid foundation for AI-driven features and curriculum management.
March 2026 performance summary for unb-mds/2025-1-NoFluxoUNB. Delivered core MVP UI foundation with navigation and screenshot improvements, initiated AI integration, and expanded curriculum tooling, while strengthening onboarding paths and data infrastructure. Key business outcomes include improved user onboarding (anonymous mode and default post-login flow), enhanced data quality (PDF parsing and text normalization), and a scalable data ingestion pipeline via Supabase scripts. Addressed critical authentication and repo hygiene issues to improve security and maintainability. The month demonstrated strong proficiency in frontend UX, backend data integration, and cross-functional collaboration, setting a solid foundation for AI-driven features and curriculum management.
February 2026 (2026-02) – Monthly summary for unb-mds/2025-1-NoFluxoUNB. Delivered end-to-end Curriculum Data Integration and Material Management Enhancements, enabling processing of course structures and equivalencies, improved data insertion with deduplication, and workload-aware updates. Implemented database, backend, and frontend changes to support updated business rules and data flows. Fixed critical database integration issues and refined the data upload algorithm to push changes to the DB more reliably. Result: higher data accuracy, faster ingestion, and improved material provisioning, supporting more reliable academic program management.
February 2026 (2026-02) – Monthly summary for unb-mds/2025-1-NoFluxoUNB. Delivered end-to-end Curriculum Data Integration and Material Management Enhancements, enabling processing of course structures and equivalencies, improved data insertion with deduplication, and workload-aware updates. Implemented database, backend, and frontend changes to support updated business rules and data flows. Fixed critical database integration issues and refined the data upload algorithm to push changes to the DB more reliably. Result: higher data accuracy, faster ingestion, and improved material provisioning, supporting more reliable academic program management.

Overview of all repositories you've contributed to across your timeline