, I'm
About Me
Hi! I'm Shohan — a passionate Full-Stack Web & App Developer and AI-powered Data Scientist. I specialize in crafting scalable, modern solutions with a unique blend of development expertise and data intelligence.
I build production-grade applications using React, Vue, Next.js, Node.js, Django, FastAPI, and Flutter with GetX. My expertise extends to AI/ML, NLP, and Computer Vision with Python, creating intelligent solutions that bridge data with innovation.
Whether you're launching a new platform, building AI-driven systems, or need high-performance full-stack solutions — I combine creativity, engineering excellence, and future-forward thinking to bring your vision to life. Let's create something extraordinary together!
Here are my key skills:
My Projects
BanglaBazar eCommerce Website
Built a full-featured eCommerce platform 'BanglaBazar' using Next JS. The application allows users to browse products, add to cart, and checkout seamlessly. Real-time product updates, authentication, and hosting are handled by Firebase, while React ensures a smooth and dynamic user experience. The platform supports product discovery, search, category-wise filtering, and responsive design, making it suitable for modern online shopping.
StreamHorizon: Modern Streaming Platform
Developed a Streaming service using React, Node.js, and MongoDB. StreamHorizon allows users to seamlessly browse and stream a wide array of movies and TV shows through an intuitive and responsive interface. The platform leverages Node.js for efficient backend operations and MongoDB for scalable data management, ensuring a high-performance experience and smooth content delivery.
Blood Donation Website
Developed a Blood Donation Website using React and Firebase. The application enables users to find nearby blood donation centers, register for donations, and view real-time donation statistics. Firebase handles authentication, real-time database updates, and hosting, while React ensures a responsive and interactive user interface. This setup provides a scalable and efficient solution for managing and tracking blood donations.
Trading Progress Tracker
Developed a Trading Progress Tracker website to help users monitor their trading journey. The application provides detailed insights into trading levels, profit percentages, risk management, and overall progress towards financial goals. Built with React and Firebase for a responsive interface and real-time data updates.
Al Bushra – Islamic App
Developed a feature-rich Islamic app displaying prayer times, Hijri calendar, and next prayer countdown. Includes customizable home screen widget, Qibla direction, and background updates with Flutter & Kotlin.
Blood Donation App
Created a cross-platform Flutter app that connects blood donors and seekers in real-time. Features include donor registration, blood request map, and real-time notifications using Firebase.
Published Packages
Open-source packages contributing to the developer community
SuFast Web Server
v0.2.4SuFast is a production-grade, high-performance web server built with Rust and tailored for Python developers. It offers real-time dynamic routing, ultra-low latency, and native async support — combining Rust's raw performance with Python's flexibility. Designed to rival FastAPI and Flask in developer experience while delivering up to 10x performance gains in real-world workloads.
Key Features:
- 🚀 Native Rust core for ultra-fast request handling
- 🔁 Real-time dynamic route updates (no restart needed)
- 🔗 FastAPI-style Python syntax with FFI support
- ⚙️ Built-in async and coroutine handling
- 🐍 Developer-first DX with simple decorators and JSON responses
- 📦 Production-ready with low memory footprint and easy Docker deploy
Shohan Collection
v1.2.3Shohan is a curated collection of powerful backend utilities designed to handle performance, caching, and scalability challenges in high-traffic Node.js applications. Within the package, the `shohan.cache` module provides an intelligent, adaptive caching layer that reduces redundant database queries and dynamically tunes cache behavior based on usage patterns. Built with flexibility in mind, it supports pluggable backends like Redis and in-memory stores, making it suitable for modern, production-grade systems.
Key Features:
- 🧠 `shohan.cache`: Adaptive, context-aware cache invalidation
- ⚡ Automatic optimization via real-time query pattern analysis
- 🧩 Supports Redis, in-memory, and pluggable storage engines
- 🛠️ Framework-agnostic and compatible with SQL/NoSQL databases
- 📊 Built-in analytics and real-time performance metrics
- 🔁 Async-ready with support for clustered environments
Contact
Ready to get started on your project?
Contact me now for a Free consultation.
