Web Development
I am a skilled web developer with expertise in HTML, CSS, JavaScript, Flask, Node.js, and React. My experience spans front-end and back-end development, including creating dynamic user experiences, building scalable backend solutions, and integrating databases like MongoDB, SQL, and Redis. I specialize in designing and deploying secure and efficient web applications, leveraging CI/CD pipelines, Docker, and cloud services such as AWS. With a passion for innovation, I deliver tailored solutions that merge functionality, performance, and security.
Campaign Connect
A scalable multi-channel messaging platform built with a microservices architecture that orchestrates targeted campaigns across Telegram, WhatsApp, and AI-powered conversation channels. The system features real-time campaign management through a React UI, with distributed services handling different communication channels, including an AI service powered by RAG and local LLMs for context-aware responses.
Web Eccomerce
An interactive e-commerce platform leveraging MongoDB Atlas, D3.js, and MVC design pattern, featuring secure user authentication, an admin panel for product and user management, and dynamic data visualization. Built with EJS, Node.js, and BingMaps API as part of a collaborative degree project.
Portfolio
My portfolio website, built with Next.js and React, showcases my skills, projects, and services in web development. Featuring a responsive design, dynamic animations, and seamless navigation, the site highlights my expertise in creating scalable and interactive web applications while leveraging modern frameworks and tools.
JoBot
A multi-agent system designed to streamline the job-hunting process by managing and organizing scraped data. The data is presented on an interactive website built with Flask, with MongoDB powering the backend for robust data storage. This system combines automation and a user-friendly interface to simplify job searching
Market Ordering Asistance
Introducing a new social media platform with AI assistance for seamless market orders from leading companies, using Flask.
Faddom CPU Usage Monitor
A full-stack application for real-time monitoring of AWS EC2 CPU usage. Features a React frontend dashboard and a Node.js/Express backend that fetches metrics from AWS CloudWatch. Includes a proof-of-concept video in the repository.