
Worked on the FEUP-MEIC-DS-2024-25/ai4sd repository to deliver new AI assistant capabilities and streamline deployment processes. Developed and integrated the TwisterAI UI and backend, expanded assistant options with SPARK and BANANAI, and improved the user interface for clarity. Implemented an end-to-end mutant tests generation workflow, connecting frontend and backend for controlled downloads. Refactored Dockerfiles, standardized deployment commands, and enhanced secret management using Google Cloud SDK. Updated core dependencies and optimized server-side rendering with React and edge runtime improvements. Demonstrated skills in JavaScript, Python, Docker, and cloud infrastructure, focusing on reliability, security, and developer productivity throughout the project.
December 2024 | ai4sd (FEUP-MEIC-DS-2024-25/ai4sd): Focused on delivering AI assistant capabilities, stabilizing deployment, and strengthening core tooling. Key features delivered include: - AI Assistants Suite Integration (TwisterAI UI/backend, SPARK and BANANAI integration, UI cleanup to reduce history clutter). - Mutant Tests Generation Workflow (end-to-end frontend-backend flow with generation processing and gated downloads). - Deployment, Docker & Secrets Management (refactored Dockerfile, standardized start commands/ports, improved secret handling and Google Cloud SDK integration). - Core Tooling and SSR/Build Enhancements (dependency updates, performance improvements, and SSR edge runtime updates). Major bugs fixed: improved secrets handling in deployment, resolved secret workflow blockers, and stabilized cloud integration. Overall impact: higher reliability and security in deployment, faster feature delivery, and a smoother AI assistant experience, underpinned by robust build and tooling that improve developer productivity. Technologies demonstrated: Docker, Google Cloud SDK, secrets management, React/SSR, updated dependencies, build tooling, and frontend-backend API coordination.
December 2024 | ai4sd (FEUP-MEIC-DS-2024-25/ai4sd): Focused on delivering AI assistant capabilities, stabilizing deployment, and strengthening core tooling. Key features delivered include: - AI Assistants Suite Integration (TwisterAI UI/backend, SPARK and BANANAI integration, UI cleanup to reduce history clutter). - Mutant Tests Generation Workflow (end-to-end frontend-backend flow with generation processing and gated downloads). - Deployment, Docker & Secrets Management (refactored Dockerfile, standardized start commands/ports, improved secret handling and Google Cloud SDK integration). - Core Tooling and SSR/Build Enhancements (dependency updates, performance improvements, and SSR edge runtime updates). Major bugs fixed: improved secrets handling in deployment, resolved secret workflow blockers, and stabilized cloud integration. Overall impact: higher reliability and security in deployment, faster feature delivery, and a smoother AI assistant experience, underpinned by robust build and tooling that improve developer productivity. Technologies demonstrated: Docker, Google Cloud SDK, secrets management, React/SSR, updated dependencies, build tooling, and frontend-backend API coordination.

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