
Daniel Fernández Caballero contributed to the Proyecto-ISPP/FISIOFIND and EGC-G2-tortilla/tortilla-hub repositories, delivering features such as real-time video calls, OAuth-based authentication, and Discord bot integration. He engineered robust backend and frontend solutions using Python, Django, React, and Next.js, focusing on scalable authentication, appointment booking, and physiotherapist management. His work included implementing CI pipelines with GitHub Actions, enhancing AI reporting, and improving user experience through advanced search and booking flows. Daniel’s approach emphasized test automation, code quality, and maintainable project structure, resulting in reliable deployments, streamlined onboarding, and actionable analytics that supported both technical and business objectives.

In May 2025, Proyecto-ISPP/FISIOFIND delivered targeted front-end and documentation improvements across booking, profile, and checkout flows, delivering tangible business value through better transparency, user experience, and UI consistency. The work focused on AI usage documentation, UX improvements in appointment booking, earnings visibility for physiotherapists, and visual refreshes, while ensuring accurate user notifications after account actions and a cohesive checkout interface.
In May 2025, Proyecto-ISPP/FISIOFIND delivered targeted front-end and documentation improvements across booking, profile, and checkout flows, delivering tangible business value through better transparency, user experience, and UI consistency. The work focused on AI usage documentation, UX improvements in appointment booking, earnings visibility for physiotherapists, and visual refreshes, while ensuring accurate user notifications after account actions and a cohesive checkout interface.
April 2025 performance summary for Proyecto-ISPP/FISIOFIND: Delivered a UX-led overhaul of physiotherapist discovery and booking, reinforced appointment scheduling reliability, and consolidated AI reporting and governance artifacts. Implemented feature-rich discovery with advanced search UI, interactive carousel, drag-and-drop browsing, refined result cards, image handling improvements, price filtering, and detailed previews via modal. Enhanced appointment flow with a slot-selection modal, 3-day advance booking logic, and an improved alert system with clearer date feedback. Fixed critical service management and questionnaire bugs, improved nested JSON operations, and polished questionnaire UI/display. Consolidated AI sprint reports, updated roadmaps, project structure/docs, and S3/readme updates to streamline onboarding and stakeholder communication. Overall, these efforts improved user satisfaction, reduced booking friction, strengthened data integrity, and delivered actionable AI insights for planning.
April 2025 performance summary for Proyecto-ISPP/FISIOFIND: Delivered a UX-led overhaul of physiotherapist discovery and booking, reinforced appointment scheduling reliability, and consolidated AI reporting and governance artifacts. Implemented feature-rich discovery with advanced search UI, interactive carousel, drag-and-drop browsing, refined result cards, image handling improvements, price filtering, and detailed previews via modal. Enhanced appointment flow with a slot-selection modal, 3-day advance booking logic, and an improved alert system with clearer date feedback. Fixed critical service management and questionnaire bugs, improved nested JSON operations, and polished questionnaire UI/display. Consolidated AI sprint reports, updated roadmaps, project structure/docs, and S3/readme updates to streamline onboarding and stakeholder communication. Overall, these efforts improved user satisfaction, reduced booking friction, strengthened data integrity, and delivered actionable AI insights for planning.
March 2025 — Proyecto-ISPP/FISIOFIND: Delivered major features across video care, physiotherapist workflow, AI reporting, and infrastructure, while stabilizing routing and dependencies. The team shipped a richer video call experience with a 3D anatomical model viewer; expanded physiotherapist service management with integrated questionnaires; introduced AI-driven sprint reports and retrospectives; and refreshed backend dependencies and environment routing. These changes improve patient-therapist engagement, reduce manual steps in scheduling and data collection, and enable data-driven optimization of AI interactions. Technical accomplishments include frontend UX improvements, 3D viewer integration, robust backend CRUD for services and questionnaires, Python dependency upgrades, and standardized routing across environments, reflecting strong cross-functional collaboration and measurable business value.
March 2025 — Proyecto-ISPP/FISIOFIND: Delivered major features across video care, physiotherapist workflow, AI reporting, and infrastructure, while stabilizing routing and dependencies. The team shipped a richer video call experience with a 3D anatomical model viewer; expanded physiotherapist service management with integrated questionnaires; introduced AI-driven sprint reports and retrospectives; and refreshed backend dependencies and environment routing. These changes improve patient-therapist engagement, reduce manual steps in scheduling and data collection, and enable data-driven optimization of AI interactions. Technical accomplishments include frontend UX improvements, 3D viewer integration, robust backend CRUD for services and questionnaires, Python dependency upgrades, and standardized routing across environments, reflecting strong cross-functional collaboration and measurable business value.
February 2025 — Proyecto-ISPP/FISIOFIND: Delivered foundational real-time collaboration capability and structured governance artifacts, with targeted quality improvements to support planning, compliance, and future feature expansion.
February 2025 — Proyecto-ISPP/FISIOFIND: Delivered foundational real-time collaboration capability and structured governance artifacts, with targeted quality improvements to support planning, compliance, and future feature expansion.
December 2024: Delivered core Discord bot integration and robust testing frameworks for tortilla-hub. Implemented environment-aware startup routing, QA automation across unit and Selenium tests, and OAuth flow validation. These contributions enhanced product readiness, reliability, and security posture, enabling faster onboarding of new features and higher confidence in deployments.
December 2024: Delivered core Discord bot integration and robust testing frameworks for tortilla-hub. Implemented environment-aware startup routing, QA automation across unit and Selenium tests, and OAuth flow validation. These contributions enhanced product readiness, reliability, and security posture, enabling faster onboarding of new features and higher confidence in deployments.
November 2024 Monthly Summary for tortilla-hub: Delivered foundational and scalable OAuth-based authentication with multi-provider linking, significantly expanding sign-up/sign-in options while safeguarding against duplicate provider associations. Implemented ORCID provider linking, and completed environment preparations and migrations to support scalable third-party authentication workflows. Addressed critical migration issues and hardening tasks to improve deployment reliability and security posture.
November 2024 Monthly Summary for tortilla-hub: Delivered foundational and scalable OAuth-based authentication with multi-provider linking, significantly expanding sign-up/sign-in options while safeguarding against duplicate provider associations. Implemented ORCID provider linking, and completed environment preparations and migrations to support scalable third-party authentication workflows. Addressed critical migration issues and hardening tasks to improve deployment reliability and security posture.
October 2024 monthly summary for EGC-G2-tortilla/tortilla-hub focusing on delivering a robust CI quality gate and accelerated feedback loop.
October 2024 monthly summary for EGC-G2-tortilla/tortilla-hub focusing on delivering a robust CI quality gate and accelerated feedback loop.
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