This project showcases a 'Company Contact' App using a simple REST API run within Docker container. The frontend, built with React and Material UI, includes responsive designs optimized for desktop and mobile, intuitive UI elements, and input validation for user-friendly interaction. The backend, built with Node.js, Express.js, and SQLite, features CRUD API endpoints tested via Postman and Chrome DevTools.

This project was an assessment task where I developed an advanced AI chatbot assistant, trained on targeted documentation. I optimized data retrieval for better efficiency, implemented local deployment with LocalAI and LangChain, and built a custom API for completions. This project enhanced my skills in Natural Language Processing (NLP), Python, and conversational AI.

Developed a scalable video transcoding service using a worker-master architecture. The application was deployed on AWS infrastructure, scaling based on CPU utilization and using Docker for containerization.

As my final year capstone project, I developed the backend API for a financial literacy learning platform. Working in a team, we used agile methodologies and tools like Trello and GitHub for collaboration. I designed a secure, scalable system with Node.js, deployed a cloud-based MySQL database on Heroku, and implemented CI/CD workflows. The project adhered to OWASP Top 10 security principles and included comprehensive API documentation with Swagger.