Hello, my name isMarjo Forcado, a Software Engineer with more than10 years of experiencebuilding and scaling products in fast-paced startup and product-driven environments.

I specialize in turning ideas into production-ready solutions, with hands-on experience developing Web, Mobile, Desktop, API, and AI-powered applications from the ground up. Throughout my career, I have worked across the full product lifecycle — from architecture and rapid prototyping to scaling systems for growth and long-term maintainability. I thrive in startup environments where adaptability, ownership, and execution speed are critical.

One of my strongest areas of expertise isMicroservice Architectureacross both frontend and backend systems. I focus on designing scalable and maintainable platforms that allow teams to move quickly without compromising reliability or code quality. Beyond application development, I bring strong DevOps and infrastructure experience, including CI/CD automation, cloud deployment workflows, production monitoring, and vulnerability management. I prioritize building engineering processes that enable fast, secure, and efficient product delivery. I enjoy working closely with product teams, and engineers to solve complex problems, ship products quickly, and build technology that can scale alongside the business.

The rapid growth of AI-driven development has fundamentally changed how modern software is built. As AI tools continue to evolve, a new generation of developers has emerged — often referred to as “vibe coders” — leveraging AI to accelerate development and streamline workflows. Rather than resisting this shift, I fully embraced it and redesigned my entire engineering workflow around effective human-AI collaboration. By combining strong software engineering fundamentals with AI-assisted development, I'm able to significantly accelerate delivery speed while maintaining high standards for architecture, scalability, and code quality. My approach goes beyond simply generating code with AI tools. I use AI strategically across system design, prototyping, testing, documentation, automation, debugging, and optimization workflows to improve both development efficiency and product reliability. The result is a highly optimized development process capable of producing output and execution velocity comparable to multiple engineers, while still maintaining the technical oversight, engineering judgment, and product thinking required to build production-grade systems responsibly.