Pedro Trincheiras

Developed and integrated AI-powered features into web applications leveraging prompt engineering techniques to improve user interactions with LLM-based tools. Expertly used React Hooks and Redux for state management to build maintainable and high-performance React applications. Collaborated with UX/UI teams using Figma and designed responsive user interfaces with Tailwind CSS. Streamlined development via GitLab CI/CD pipelines and automated testing with Jest and React Testing Library. Mentored junior developers and led an IoT project involving real-world data analysis with 3D modeling visualization. Engineered microservices with Docker and implemented efficient DynamoDB partitioning to optimize high-throughput IoT data storage.

Developed and integrated AI-powered features into web applications leveraging prompt engineering to improve user interactions with large language model-based tools. Utilized React Hooks and Redux for state management, improving maintainability and performance. Designed responsive user interfaces with Tailwind CSS and prototyped in Figma. Set up CI/CD pipelines with GitLab to streamline deployments. Implemented unit and integration tests with Jest and React Testing Library. Mentored junior developers. Developed an IoT project with 3D data visualization and heat map representations. Engineered microservices infrastructure using Docker and implemented SDKs for client REST endpoints. Optimized DynamoDB partitioning and indexing for high-throughput IoT data storage, reducing access latency by 40%.

Led development of an advanced e-commerce platform using Vue.js with real-time data updates, dynamic filtering, and secure user authentication, markedly enhancing engagement and conversions. Utilized complex Vue.js techniques such as custom directives, mixins, Vue Router, and Vuex for state management, improving performance and reducing debugging time by 35%. Facilitated team communication and collaborated with backend developers integrating OpenAPI-documented APIs. Implemented server-side rendering with Django and developed a high-performance ASP.NET data processing framework increasing speeds by 40%.