Miguel Angel Arciniega Loaiza

• Developed a customizable course creation system leveraging AI to provide interactive and personalized learning experiences for educators.
• Enhanced software functionality by identifying and resolving complex technical issues.
• Mentored junior developers, fostering professional growth and enhancing team productivity.
• Integrated AI technologies from OpenAI and KeywordsAI to enable efficient content generation and organization within the course creator.
• Built a student performance analysis dashboard powered by big data and AI, offering insights into student strengths and areas for improvement.
• Designed a modular microservices architecture utilizing Node.js and MongoDB to ensure scalability and flexibility of the platform.
• Implemented real-time data streaming using Socket.IO, allowing teachers to receive live updates during sessions.
• Automated CI/CD processes using AWS CodePipeline, improving deployment efficiency and minimizing downtime.
• Enhanced platform security by implementing AWS Firewall, Secrets Manager, and IAM for robust access control.
• Developed over 80 intelligent tools integrated with Redux and Chart.js to assist teachers in classroom management and decision-making.
• Created a QR code-based system for quick student access to sessions, improving user experience and participation.
• Built a desktop version of the platform using Electron, enabling offline access and synchronization across devices.
• Established a Content Delivery Network (CDN) using AWS CloudFront, enhancing global accessibility and performance under high demand.
• Integrated advanced analytics with PostHog and real-time error monitoring using Sentry to enhance product reliability and user experience.
• Developed backend services using Node.js and Express.js for robust API management.
• Implemented Nest.js for scalable server-side applications, improving modularity and maintainability.
• Utilized Prisma for database management, ensuring a type-safe and efficient data handling approach.
• Integrated real-time communication features within the application using Socket.IO.

• Delivered high-quality code on time by effectively managing project timelines and prioritizing tasks accordingly.
• Led the design and implementation of a customized dashboard for managing biometric data.
• Developed a responsive and intuitive user interface alongside a scalable, high-performance backend system.
• Leveraged React, Fastify, GraphQL, and AWS services to ensure modularity and maintainability through a microservices architecture.
• Utilized React for dynamic UI development with a component-based architecture for reusability.
• Adopted TypeScript to enhance code quality, improve maintainability, and enable strong typing for error detection.
• Employed Chakra-UI for accessible and themeable components, ensuring a user-friendly interface.
• Used Sass for modular CSS to enable scalable stylesheets with easy theming capabilities.
• Implemented standard HTML/CSS for cross-browser compatibility and responsive design.
• Integrated AngularJS and Angular 2+ components for legacy support and dynamic data binding.
• Utilized Next.js for server-side rendering to improve SEO performance.
• Implemented Redux for global state management, managing complex data flows effectively.
• Chose Vite for build optimization, facilitating faster development iterations.
• Integrated AI-driven components for predictive analytics and biometric data processing.
• Used Fastify for performance-optimized API development, ensuring low latency and high throughput.
• Employed GraphQL with Apollo for flexible and efficient data fetching, optimizing bandwidth usage.
• Architected the system with a microservices approach, enabling independent scaling of application components.
• Introduced AWS Lambda for serverless microservices, enhancing scalability and reducing server management overhead.
• Used Prisma as the ORM for type-safe database access, simplifying data querying and migrations.
• Leveraged AWS services such as S3, RDS, and Elastic Beanstalk for cloud infrastructure, ensuring reliability and fault tolerance.
• Integrated Pino for structured logging, facilitating real-time monitoring and debugging of backend processes.
• Utilized Sentry for comprehensive error tracking across frontend and backend environments.
• Employed .NET Core for integration with enterprise-level systems and third-party APIs.
• Conducted thorough testing with Jest for unit tests and Cypress for end-to-end testing, ensuring system reliability.
• Implemented Python scripts to process AWS SQS queues, enhancing scalability and efficient handling of biometric data.

Developed and maintained a multi-layered REST API using .NET Core v3 and C# for CatalyticRisk's insurance platform.
• Created REST API in C# for the insurance platform and implemented e-commerce REST API endpoints with Node.js.
• Deployed a Single Page Application (SPA) using Angular 2+ (specifically Angular v9) with TypeScript and RxJS for a dynamic user experience.
• Integrated React modules within the Angular framework using web components to enhance flexibility in the e-commerce section.
• Utilized HTML/CSS, SASS, styled-components, and TailwindCSS for sophisticated styling and consistent design across all devices.
• Implemented microservices architecture using Node.js, TypeScript, and ExpressJS to create new e-commerce REST API endpoints.
• Improved efficiency and scalability of the platform through the creation of REST API endpoints, allowing for faster updates and better management of insurance products.
• Managed database operations with MSSQL for secure storage and retrieval of user profiles, policy data, and transaction histories.
• Employed serverless components to optimize backend processes, reducing operational costs and enhancing scalability.
• Utilized GitHub for version control, ensuring code integrity and collaboration among team members.
• Implemented Jira and Confluence for task tracking and documentation, aligning with Scrum methodologies for agile project management.
• Leveraged a diverse technology stack, including .NET Core, AngularJS, Node.js, Typescript, JavaScript, and HTML/CSS, to develop a scalable, secure, and high-performing insurance platform.

• Developed mobile and desktop applications for SafePass and SafeBusiness, enhancing security and community management.
• Integrated IoT systems for secure access to residences and management features for community resources and payments.
• Built mobile apps using React Native, and later migrated SafeBusiness to Flutter for improved performance and user experience.
• Employed Next.js for web applications to enable server-side rendering and enhance SEO, integrating mobile support.
• Utilized Redux for state management across mobile and web platforms, ensuring data consistency.
• Implemented TypeScript for frontend and backend services, ensuring type safety and reliability.
• Leveraged PHP in backend integrations, contributing to a flexible microservices architecture.
• Constructed the backend using Node.js with a serverless architecture on AWS, utilizing AWS Lambda and API Gateway for scalability.
• Integrated ASP.NET Core and .NET Core for complex business logic, especially for advanced features in SafeBusiness.
• Managed data storage with NoSQL solutions like MongoDB and relational databases such as MySQL.
• Designed both platforms with a microservices architecture to facilitate efficient service management.
• Integrated Elasticsearch for enhanced search capabilities, enabling quick data retrieval for security logs and resident information.
• Developed a visitor management system in SafePass, enabling security personnel to register visitors and capture vehicle details.
• Automated access control with QR code generation and employed machine learning for automatic license plate identification.
• Integrated PayPal for secure payment processing in SafeBusiness, enabling residents to manage dues and shared service payments.
• Enhanced CI/CD processes using AWS CodeCommit, CodeBuild, CodeDeploy, and CodePipeline for automated build, test, and deployment.
• Optimized performance and scalability across both platforms, focusing on fast loading times and smooth navigation.
• Ensured seamless data handling and interaction through microservices architecture, Typescript, and Node.js.
• Created React Native applications, set up CI/CD on AWS, developed backend with serverless Node.js, and managed databases with MongoDB, MySQL, and MSSQL.
• Reviewed code, debugged problems, and corrected issues.
• Developed functional databases, applications and servers to support websites on back-end.
• Integrated third-party APIs to enhance functionality and improve overall user experience on web platforms.
• Reduced page load times by optimizing front-end assets such as JavaScript files, stylesheets, and images.

• Maintained application security by conducting regular code reviews and fixing vulnerabilities as needed.
• Delivered high-quality software solutions on schedule by prioritizing tasks effectively and managing project timelines.
• Proactively identified opportunities for improvement in existing systems while adhering to industry best practices efficiently.
• Improved software performance by optimizing full stack code and implementing efficient algorithms.
• Developed numerous management systems and HR solutions to enhance employee performance and improve analytics for semiconductor manufacturing machines.
• Designed systems focused on C# .NET, .NET Core, and MVC .NET to monitor machine performance and provide actionable insights for yield improvement.
• Integrated SQL and NoSQL databases to ensure scalability and efficiency of data processing for real-time analytics.
• Created comprehensive performance enhancement applications using ASP.NET, AngularJS, Angular 2+, and Next.js.
• Enabled employees to set performance goals, track progress, and receive incentives while streamlining the HR performance review process.
• Crafted intuitive and responsive UIs using HTML/CSS, SCSS, Material UI, and TailwindCSS to cater to management and employees, facilitating seamless data access and navigation.
• Utilized Python and TensorFlow to implement machine learning algorithms that predicted machine failures, optimizing maintenance schedules and reducing production downtime.
• Built robust and scalable Software Architecture with JavaScript, Node.js, and Express.js to ensure efficient communication between systems and services.
• Improved machine efficiency while enhancing employee motivation and performance tracking across various departments.
• Integrated CI/CD pipelines to ensure smooth deployments and automated testing, aligning with the company's DevOps practices.
• Worked on React Native projects to extend management and HR systems to mobile platforms.
• Collaborated with teams using Git and GitHub for version control and effective project development.
• Employed a diverse technology stack including PHP, Java, Java Primefaces, Go, MySQL, NoSQL, Angular 2+, and ASP.NET to create robust, scalable, and user-friendly solutions.
• Deployed and configured servers, developed RESTful applications with ASP.NET, integrated applications in Angular, and administered databases.