
Tomas Pozo Garzón developed core features for the supabase/smart-office-demo repository, focusing on real-time data synchronization, a room booking system, and analytics chart enhancements. He implemented backend APIs and frontend UI in TypeScript and React, enabling conflict detection for bookings and improving demo reliability. His work included stabilizing PostgreSQL vector extension initialization, refining environment configuration, and enhancing documentation for easier onboarding. Tomas improved data visualization accuracy and demo maintainability by tuning simulated query delays and refactoring code. Through full-stack development with Next.js, Supabase, and SQL, he delivered robust, production-ready features that addressed both technical debt and user experience.

October 2025 — Delivered two core capabilities in supabase/smart-office-demo: Room Booking System with UI and backend APIs including conflict detection; Analytics Chart Enhancements with a vertical layout and improved data accuracy. The room booking feature was streamlined through UI simplifications and API cleanup to improve maintainability and demo reliability. Analytics charts were enhanced to present average utilization clearly and to reflect more accurate data by adjusting simulated query delay and fixing the X-axis. Major stabilization work included restoring delayed queries and removing prompt-based booking prompts to reduce flaky demos. These efforts improved demo realism for customers, decision-useful analytics, and reduced technical debt. Technologies/skills demonstrated: full-stack development (frontend UI, backend APIs), conflict-detection logic, data-visualization tuning, and code cleanup/refactor.
October 2025 — Delivered two core capabilities in supabase/smart-office-demo: Room Booking System with UI and backend APIs including conflict detection; Analytics Chart Enhancements with a vertical layout and improved data accuracy. The room booking feature was streamlined through UI simplifications and API cleanup to improve maintainability and demo reliability. Analytics charts were enhanced to present average utilization clearly and to reflect more accurate data by adjusting simulated query delay and fixing the X-axis. Major stabilization work included restoring delayed queries and removing prompt-based booking prompts to reduce flaky demos. These efforts improved demo realism for customers, decision-useful analytics, and reduced technical debt. Technologies/skills demonstrated: full-stack development (frontend UI, backend APIs), conflict-detection logic, data-visualization tuning, and code cleanup/refactor.
September 2025 monthly summary for supabase/smart-office-demo focusing on delivering core features, stabilizing the development workflow, and strengthening production readiness. Highlights include enabling real-time data synchronization for core tables, fixing critical database vector extension initialization, and improving local development workflows (storage access, env-based config, and tooling). Documentation, architecture clarity, and UI robustness were enhanced to accelerate onboarding and reduce operational risk.
September 2025 monthly summary for supabase/smart-office-demo focusing on delivering core features, stabilizing the development workflow, and strengthening production readiness. Highlights include enabling real-time data synchronization for core tables, fixing critical database vector extension initialization, and improving local development workflows (storage access, env-based config, and tooling). Documentation, architecture clarity, and UI robustness were enhanced to accelerate onboarding and reduce operational risk.
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