Consultoria Carranza

As a FullStack Developer, you led a team in the design, development, and deployment of AI-integrated software systems, ensuring project success through Scrum methodology. Your leadership and technical expertise contributed to the successful delivery of high-quality solutions.

Additionally, you managed continuous website maintenance and SEO optimization, improving performance through tools like Google Analytics and PageSpeed Insights. Your contributions significantly enhanced user experience and site efficiency.

You played a key role in developing and executing unit tests for both web and mobile applications using Playwright and Jest. This proactive testing approach reduced bugs by 25% before deployment, ensuring high software reliability.

Furthermore, you implemented a CI/CD culture, optimizing workflows with automation tools like GitHub Actions. This reduced manual deployment efforts by 22%, increasing development efficiency and reliability.

Another key contribution was building and deploying web scrapers for automating legal standards and price collection using Playwright and Azure. These automated solutions significantly improved data accuracy and operational efficiency.

Key Technologies:

The original system was built as a monolithic application, limiting scalability, maintainability, and multi-tenancy support. The platform was tailored for a single-client environment, making it difficult to onboard new customers without extensive manual configuration.

Additionally, the deployment process lacked automation, requiring manual interventions for updates and releases. This led to longer downtimes and inconsistent application states across environments. The absence of a structured **CI/CD pipeline** and versioning strategy further complicated maintenance.

Security and compliance also posed challenges. The system lacked proper access control mechanisms, and user data was stored without clear multi-tenancy separation, risking data leaks. The performance suffered due to unoptimized database queries and the lack of **caching mechanisms**, causing slow response times and increased operational costs.

To transform the system into a scalable SaaS platform, I led a full architectural refactor, implementing a **multi-tenant structure** with modular microservices.

First, I restructured the system using Angular for frontend modularization and Express with Angular Universal for backend and server-side rendering. The application was containerized using **Docker**, enabling seamless deployments and environment consistency.

To enhance **multi-tenancy**, I implemented role-based access control (RBAC) and **database partitioning** using PostgreSQL schemas. Each tenant now had isolated data storage, eliminating cross-client data leakage risks. I also integrated Azure Functions for handling background tasks asynchronously, improving system responsiveness.

For **performance optimization**, I introduced **Playwright-based automated testing** to detect UI/UX flaws early. I also implemented **Redis caching** to optimize API response times and reduced database load by indexing critical queries.

To modernize deployments, I introduced a **CI/CD culture** using GitHub Actions. This allowed for automated builds, testing, and deployments, reducing release cycles and ensuring stability. The system was also integrated with **Google Analytics** and **PageSpeed Insights** to continuously monitor performance and improve SEO rankings.

This refactor transformed the platform into a fully functional **SaaS solution**, increasing customer onboarding efficiency by **40%**, reducing operational costs by **30%**, and enhancing system reliability.

Key Technologies: