AI & Full Stack Developer focused on building intelligent, scalable, and production-oriented systems by combining Machine Learning, Deep Learning, and Full Stack Engineering.

• 🎓 BS Computer Science — Sukkur IBA University, Sukkur, Sindh, Pakistan (2022–2026)
• ⚙️ MERN Stack & Backend Development (FastAPI / Node.js)
• 🤖 Machine Learning, Deep Learning & Computer Vision
• 🧠 LLMs, RAG Pipelines & AI Chatbots
• 🚀 Focus: System Design + Applied AI

• 🧬 NeuraLink AI — Brain Tumor Detection using CNN + FastAPI
• 💬 Real-Time Chat App — MERN + Socket.io (WhatsApp-like system)
• 🏫 School Management System — Role-based academic platform
• 🧴 Skin Disease Classification — Classical ML + Feature Engineering
• 📚 RAG Chatbot — Document-based AI assistant using LLMs

DevelopersHub Corporation
Dec 2025 – Feb 2026

• Built ML/DL pipelines including CNN, ANN, and Transfer Learning models
• Performed data preprocessing, EDA, and feature engineering
• Developed Streamlit-based AI applications for real-time inference
• Built NLP chatbot systems using transformer-based architectures
• End-to-end model training, evaluation, and deployment

Tech Stack: Python, TensorFlow, Scikit-learn, OpenCV, NLP, LangChain, Streamlit

DevelopersHub Corporation
May 2026 – Present

• Developing Alibaba-inspired e-commerce platform using React.js
• Building authentication, cart, orders, and product management system
• Designing reusable and scalable frontend architecture
• Integrating REST APIs with backend services
• Using Git/GitHub for version control and collaboration

Tech Stack: React.js, Express.js, MongoDB, FastAPI, TailwindCSS

Python • JavaScript • Java • C++ • C • Kotlin • Dart

React.js • Node.js • Express.js • MongoDB • MySQL • REST APIs • JWT • TailwindCSS

TensorFlow • Keras • Scikit-learn • OpenCV • Pandas • NumPy • NLP • RAG • LangChain • FAISS

Flutter • Android (Kotlin, Jetpack Compose) • RoomDB • MVVM

Git • GitHub • Docker • Firebase • Postman • VS Code • Linux • Azure (Basics)

• CNN + EfficientNetB0 model comparison
• MRI preprocessing, augmentation, and classification
• FastAPI backend deployment
• Firebase authentication + Cloudinary storage
• PDF report generation + Email feedback system

• Classical ML pipeline using image feature extraction
• Models: SVM, Random Forest, Naive Bayes, Decision Trees
• Histogram, LBP, Haralick features
• Performance comparison across models

• Retrieval-Augmented Generation system
• FAISS vector database for semantic search
• LangChain orchestration pipeline
• Conversational memory support

• JWT authentication and protected routes
• Full CRUD task system
• Task filtering and status tracking
• Responsive React UI with MongoDB backend

• Tkinter-based desktop application
• Secure PIN login system
• SQLite database integration
• Reporting dashboard system

• Java Swing + AWT GUI system
• Attendance, marks, timetable management
• Role-based access (teachers & admins)
• MySQL database integration

“Build intelligent systems that solve real problems, scale efficiently, and remain maintainable.”