Implementing Azure data and AI services.

Refactored previous wordpress based web page into React components for better maintainability, reducing the amount of security issues and unwanted advertisements.

Delivered an open source product aimed at precise memory allocation within the Docker Desktop Application with a team adhering to the SCRUM framework.Applied the component reusability of React and React Hooks to modularize the codebase for maintainability and an interactive frontend user interface with the ability to access the wide community-supported products.Implemented React Router to refine the user experience with faster loading times accomplished using client-side conditional component rerendering, reducing the amount of fetch requests to the Docker daemon.Improved the user interface with Material UI component library customizing the frontend with optimized, professionally created, accessible React components for cross-compatibility and built-in theming with Docker Desktop Application.Modularized the frontend styling with SASS/SCSS + CSS to access features such as variables, nesting, and modules for increased ease of maintenance.Visually displayed memory metrics pertaining to containers into live updating, highly customizable charts using Chart.js’ canvas rendering with scaling in mind.Built and deployed application with Vite for future maintainability and scale, by constructing configuration with features such as hot module reloading, TypeScript transpilation, ES6+ transpilation for developer packages, and the built-in application developer console.Adopted Vitest for its out-of-the-box TypeScript/JSX support, applying its multi-threading component testing for faster testing, and well-configured Vite support.Improved the codebase with TypeScript implementation for its direct runtime behavior, type inference, focusing on reducing type errors for scalability, readability, and cross-functionality.

Designed and implemented a real-time data analysis system to monitor and optimize production processes resulting in a streamlined process of outer pipe diameter documentation justified through time oriented data analysis, attaining 10% increase in operational efficiency.Applied Computer-Aided Design (CAD) software such as AutoCAD and SOLIDWORKS to propose solutions for optimizing the production process. Collaborated cross-functionally with quality teams, process engineering, and product managers to create technical documentation for further continuous improvement of the production process.