I'm a passionate Full-Stack & Backend Engineer with strong problem-solving skills and a love for building real-world applications. I write clean, robust, and well-structured code across multiple languages and frameworks. I also have a growing interest in AI/ML and love exploring how intelligent systems can solve everyday problems. I don't just write or debug codes, I design the very system, I ensure the right decision are taken.
- 🔭 I'm currently working on MiniAssetManagementProj (TypeScript) and a Prayer Force Telegram Bot (Python)
- 🌱 I'm currently deepening my knowledge in C#/.NET, TypeScript, and AI/Machine Learning
- 🤖 I've integrated AI into projects — including an Emotion Detection App and an LLM QA Project
- 🛠️ I've built full-stack apps with the MERN stack, RESTful APIs with .NET, and bots with Python
- 😊 I also have experience in C programming and some Java
- 😇 Always learning, always building 🚀
Languages: JavaScript, TypeScript, Python, C#, HTML, CSS
Frameworks & Libraries: Node.js, Express, Fastify, React, .NET, Prisma ORM, Tailwind CSS, Bootstrap
Tools & Platforms: Git, GitHub, REST APIs, MongoDB, SQL
AI/ML: Emotion Detection, LLM/NLP integration
| Project | Description | Tech |
|---|---|---|
| prayerforce_bot | Telegram bot for prayer group automation | Python |
| Books-store | Full-stack bookstore app | MERN Stack |
| Emotion_detection_Application | AI-powered emotion detection from images | Python, AI |
| MiniAssetManagementProj | Asset management system | TypeScript |
| ECommerceAPI | E-commerce REST API | C#/.NET |
| ECommerceMVC | E-commerce app using MVC pattern | C#/.NET |
| VendorInfoSys | Vendor information system for a university campus | JavaScript |
| Library_And_TodoConsoleApp | Library & Todo console apps with OOP principles | C#/.NET |
| mindease-ai | AI mental health companion frontend | JavaScript |