
Agustin Occhiuzzi contributed to the xmartlabs/pis-2025-iapuy repository by building end-to-end features for pet registration, health event tracking, and intervention evaluation workflows. He designed and integrated RESTful APIs using TypeScript and Node.js, implemented database migrations and seeding with Sequelize, and ensured robust authentication and authorization. Agustin improved frontend-backend alignment with React and Next.js, focusing on UI/UX consistency and dynamic data handling. His work included stabilizing evaluation flows, enhancing reporting with filtered list views, and addressing code quality through ESLint and refactoring. Over two months, he delivered 13 features and resolved 14 bugs, demonstrating depth in full stack development.

October 2025 monthly summary for xmartlabs/pis-2025-iapuy focusing on enabling a robust evaluation workflow and enhanced data exploration. Delivered a core backend to evaluate interventions, integrated multiple Evaluation API endpoints (pathologies lookup, dogs from intervention, and server-side photo storage), and established end-of-connection handling with error prevention to improve reliability and auditability. Implemented stabilization and UI/test polish for the evaluate feature, reducing regressions and accelerating dev/test readiness. Expanded data exploration and reporting through Listar/Listado features, including endpoint-driven filters and finalization of search capabilities, to support faster decision-making and cost visibility. Consolidated frontend-backend alignment with seed/model fixes and backend changes, improving consistency across the evaluation flow and reducing frontend/frontend-backend drift.
October 2025 monthly summary for xmartlabs/pis-2025-iapuy focusing on enabling a robust evaluation workflow and enhanced data exploration. Delivered a core backend to evaluate interventions, integrated multiple Evaluation API endpoints (pathologies lookup, dogs from intervention, and server-side photo storage), and established end-of-connection handling with error prevention to improve reliability and auditability. Implemented stabilization and UI/test polish for the evaluate feature, reducing regressions and accelerating dev/test readiness. Expanded data exploration and reporting through Listar/Listado features, including endpoint-driven filters and finalization of search capabilities, to support faster decision-making and cost visibility. Consolidated frontend-backend alignment with seed/model fixes and backend changes, improving consistency across the evaluation flow and reducing frontend/frontend-backend drift.
September 2025 – Delivered two core features for xmartlabs/pis-2025-iapuy: Dog Registration System and Animal Health Events Management. Implemented end-to-end dog onboarding with backend API, DB migration to allow nulls in fortalezas, and DTO/service mappings, plus frontend UX improvements and owner ID handling. Implemented health events workflow (vaccinations, deworming, baths) with backend/frontend integration, migrations, controllers/services, and UI pages with authentication and dynamic dog ID retrieval. Addressed code quality and stability with ESLint fixes and a router refactor to NextResponse, and resolved authentication conflicts during integration. Result: faster onboarding, consistent health tracking data, and a scalable foundation for pet registry. Technologies demonstrated: REST APIs, database migrations, DTO/entity patterns, Next.js routing, auth integration, frontend-backend integration, ESLint-driven quality.
September 2025 – Delivered two core features for xmartlabs/pis-2025-iapuy: Dog Registration System and Animal Health Events Management. Implemented end-to-end dog onboarding with backend API, DB migration to allow nulls in fortalezas, and DTO/service mappings, plus frontend UX improvements and owner ID handling. Implemented health events workflow (vaccinations, deworming, baths) with backend/frontend integration, migrations, controllers/services, and UI pages with authentication and dynamic dog ID retrieval. Addressed code quality and stability with ESLint fixes and a router refactor to NextResponse, and resolved authentication conflicts during integration. Result: faster onboarding, consistent health tracking data, and a scalable foundation for pet registry. Technologies demonstrated: REST APIs, database migrations, DTO/entity patterns, Next.js routing, auth integration, frontend-backend integration, ESLint-driven quality.
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