📧 roque09215@gmail.com 🌐 aroque.dayby.dev 📍 Remote / Available Globally

With extensive expertise in TypeScript, Armando Roque excels in developing and optimizing backend systems through robust data management and state handling. Demonstrating a keen proficiency in enhancing application performance and testing strategies, Armando Roque has successfully implemented features such as tournament data fetching and error handling, significantly improving user interfaces and reliability. Additionally, Armando Roque has expanded technical skills into Python for AI-driven projects, showcasing adaptability and a commitment to leveraging new technologies for comprehensive solutions.

UI and Testing Enhancements in TypeScript Applications

Led improvements in UI and testing strategies for a TypeScript application by updating Jest configurations to prevent test pollution, adding comprehensive tests for key functionalities, and optimizing data structures for upcoming match displays. Enhanced tournament fetching logic, resulting in boosted performance and improved active tournament filtering. These efforts deepened my TypeScript proficiency and demonstrated the impact of robust testing and thoughtful refactoring on application quality.

Tournament Feature Enhancements with TypeScript

Optimized data handling and performance for tournament features by implementing efficient data queries, robust error handling, and effective sorting mechanisms. Improved UI elements and state management, particularly in handling forfeits within the BracketMatch component. These enhancements led to reduced load times and a smoother user experience, while strengthening my skills in TypeScript and complex application management.

Advanced Match Management Functions in TypeScript

Developed the `forfeitMatch` and `resetMatch` methods to enhance match management capabilities. Leveraged TypeScript's strong typing and state management techniques to ensure application robustness and accuracy in match outcomes. This project reinforced the importance of building adaptable systems and honed my skills in creating maintainable, efficient code within a React environment.

Organizational Insights Bot Development with Python

Engineered a scrap bot using Python, Ollama, and Lama3 to collect and analyze organizational data, providing a dashboard for insights. Integrated AI capabilities to answer organizational questions, enhancing the bot's functionality. Overcame technical challenges through documentation and leveraged llms to simplify processes. This project expanded my technical repertoire and provided valuable experience with new technologies.

Recent technical articles and insights:

• Building a Scrap Bot with Python, Ollama, and Lama3 for Organization Insights - Developed a scrap bot leveraging Python, Ollama, and Lama3, enhancing data collection and AI-based query resolution for organizational insights. This project showcased the effective use of AI to streamline data analysis and improve functionality, offering valuable learning in Python and AI technologies.