Paulo Carbonel

Full Stack Engineer with 10 years of experience building scalable web and AI-driven applications across fintech, healthcare, and SaaS domains. Strong technical background in React, Next.js, and TypeScript on the frontend, combined with Node.js and Python (FastAPI/Django) on the backend, with hands-on expertise in LLM integration and AI-powered systems. Proven ability to design and deliver end-to-end solutions, from system architecture to deployment, while driving performance optimization and product impact.

Experienced in cross-functional collaboration, agile methodologies, and leading initiatives that improve development velocity and system reliability. Available for remote-first roles with global teams, offering strong communication and effective time zone overlap, with a preference for startup environments.

Senior Full Stack Engineer at Revid AI (2025-05 – 2026-02)

• Led modernization of legacy frontend into a scalable architecture using React, Next.js, and Tailwind CSS, improving page performance scores by 35% and accelerating feature delivery cycles.
• Developed AI-powered content generation pipelines using FastAPI and LLM integrations (OpenAI/Claude), enabling dynamic video creation and increasing user engagement by 45%.
• Introduced LangChain-based orchestration for complex AI workflows, reducing prompt-processing latency by 30% and improving output consistency across use cases.
• Designed event-driven system architecture using RabbitMQ, enabling asynchronous video processing and improving system throughput under peak load by 50%.
• Deployed and managed cloud infrastructure on AWS using Docker, ensuring scalable video processing pipelines and reducing infrastructure costs by 20%.
• Optimized video generation performance through parallel processing and caching strategies, decreasing average rendering time from minutes to near real-time (<40 seconds).

Full Stack Engineer at Arcanys (2022-06 – 2025-04)

• Developed scalable frontend architecture for a fintech web application using TypeScript and Next.js, improving transaction flow performance and increasing user conversion rate by 22%.
• Introduced Vue.js for rapid development of a headless eCommerce platform, accelerating delivery timelines by 30% and improving maintainability for client teams.
• Delivered a cross-platform solution for a healthcare application, combining React (web) and React Native (mobile), reducing development redundancy by 40% across platforms.
• Built and deployed a fitness mobile application using React Native, achieving smooth performance across iOS/Android and reaching 50K+ downloads within the first 6 months.
• Implemented backend services for fintech systems using NestJS, improving modularity and scalability of APIs while reducing service response times by 25%.

Software Engineer at Heidi Health (2020-04 – 2022-05)

• Engineered core backend services for an AI-driven healthcare SaaS platform using Python and Django, supporting secure patient data workflows and improving system reliability (99.9% uptime).
• Integrated AI-powered diagnostic and recommendation features into backend systems, enabling real-time inference and increasing feature adoption by 35%.
• Designed and maintained RESTful APIs with Django REST Framework, ensuring seamless frontend-backend communication and reducing API error rates by 28%.
• Optimized PostgreSQL database performance for high-volume medical records, reducing complex query execution time by 40% through indexing and query refactoring.
• Adopted test-driven development practices using pytest, increasing code coverage to 85% and significantly reducing production defects.

Web Developer at Hireplicity Inc. (2016-02 – 2020-03)

• Built responsive UI components for an EdTech learning platform using React and Material UI, improving usability and increasing average session duration by 18% through refined UX and consistent design systems.
• Reduced frontend rendering time for a course delivery product by 30% through code-splitting, memoization, and efficient state management, improving initial load performance and user experience.
• Implemented secure backend endpoints for a multi-tenant SaaS platform using Node.js and Express.js, strengthening authentication flows (JWT) and reducing unauthorized access incidents by 25%.
• Integrated MongoDB for scalable data persistence in a subscription-based SaaS product, improving query efficiency and reducing data retrieval latency by 20%.
• Established CI/CD pipelines using Git and GitHub Actions, decreasing deployment time by 40% and enabling consistent, automated releases across environments.

Bachelor's Degree in Computer Science – Adamson University (2015)