Let's 👋 Work Together

I specialize in React, Vue, Angular, JavaScript, Node.js, TypeScript, Next.js, and Nuxt.js.

JavaScript is used for both frontend (e.g., React, Vue) and backend (e.g., Node.js) development.

RAG combines knowledge retrieval with language generation using tools like OpenAI API.

RAG improves information accessibility and delivers knowledge-rich outputs.

I use vector databases like Pinecone for efficient information retrieval.

Yes, using multilingual models and embeddings for cross-language retrieval.

Challenges include data quality, optimizing retrieval, and aligning AI outputs with needs.

I fine-tune models with domain-specific datasets and optimize hyperparameters.

Knowledge graphs enhance retrieval accuracy and support complex queries.

I use metrics like retrieval precision and response relevance.

Yes, by preloading embeddings and minimizing external API dependencies.

I use LangChain.js, OpenAI API, and Hugging Face libraries.

I use cloud-based storage, scalable APIs, and load balancing techniques.

Industries like healthcare, finance, and education benefit greatly.

React Native is a framework for building cross-platform mobile applications with native performance.

I use libraries like React Navigation for dynamic navigation.

I use libraries like AsyncStorage and Redux Persist.

I use Jest and Detox to ensure quality and reliability.

I optimize with tools like Flipper and proper state management.

Pinia is a modern state management library for Vue, offering simplicity and TypeScript support.

Pinia is simpler and more lightweight, while Vuex provides a structured approach for complex apps.

Yes, Pinia is scalable and integrates well with modular designs.

I use Vue DevTools for monitoring and debugging state changes.

Organize stores modularly and utilize TypeScript for strong typing.

React and Vue provide component-based architectures and efficient rendering.

TypeScript enhances code quality with static typing and reduces bugs.

They enable server-side rendering and static site generation for React and Vue.

I use Node.js with frameworks like Express and databases like MongoDB.

By designing modular code and leveraging cloud services like AWS or Vercel.

Middleware handles tasks like authentication, logging, and error management.

REST uses fixed endpoints, while GraphQL allows flexible data fetching.

I use Redux or the Context API for efficient state management.

It ensures usability for people with disabilities, adhering to WCAG standards.

I use WebSockets or libraries like Socket.IO for real-time capabilities.

They automate testing, building, and deployment for faster releases.

I use Jest, Mocha, and Cypress for unit and end-to-end testing.

Monolithic combines everything into one, while microservices split into independent services.

I use platforms like Vercel, AWS, and Netlify for seamless deployment.

I follow industry trends, attend webinars, and practice continuous learning.

Responsive design ensures applications work seamlessly across all devices.

I use authentication mechanisms like OAuth and validate all inputs.

I use tools like Chrome DevTools, VS Code Debugger, and logging frameworks.

I prioritize efficient structure, normalization, and indexing for performance.

Yes, AI improves personalization, automates tasks, and provides intelligent insights.

I use platform-specific code and third-party libraries to optimize experiences.

Lazy loading delays loading resources until needed, improving performance.

State hydration ensures SSR-rendered data matches client-side state.

I use tools like Redis and browser-level caching for performance.

I use tools like OpenAI API and LangChain.js to add AI-powered features.