As a developer, I use React for building dynamic and responsive user interfaces. Its component-based architecture allows me to create reusable UI components, ensuring consistency and efficiency across the application.

ReactJavaScript Library for Building User Interfaces

With Node.js, I handle server-side development, enabling the creation of scalable network applications. Its event-driven, non-blocking I/O model makes it ideal for real-time applications that require efficient data handling.

Node.jsJavaScript Runtime Built on Chrome's V8 Engine

Utilizing MongoDB, I manage and store data in a flexible, JSON-like format. Its schema-less nature allows for easy scaling and handling of large volumes of data, making it perfect for modern applications that require agility and speed.

MongoDBNoSQL Database for Modern Applications

Next.js is my go-to for server-side rendering and static site generation. It provides a great developer experience with features like file-based routing, API routes, and built-in CSS support, enabling me to build optimized and performant web applications.

Next.jsReact Framework for Production

For data analysis, I rely on pandas. This powerful library allows me to perform data manipulation and analysis with ease, providing intuitive data structures and data analysis tools that are essential for processing large datasets efficiently.

pandasPython Library for Data Analysis