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@LambdaLoopAI

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kamrankhan361k/README.md

Hi, I'm Kamran Khan πŸ‘‹

As a dedicated Full-Stack Web Developer with over 3+ years of professional Experience. I am driven by a passion for innovation and a commitment to excellence. With hands-on experience in building sophisticated ecommerce platforms, medical and business web applications, customer portals, and intuitive workflows, I deliver impactful solutions that enhance user experience and business growth. My expertise in Laravel, React, and modern web technologies allows me to craft efficient, scalable, and secure applications. I thrive in dynamic environments where I can push the boundaries of technology, contribute meaningfully to ambitious projects, and continuously refine my skills alongside like-minded professionals.


πŸš€ What I Do

  • Full Stack Development: Crafting robust and efficient web applications using Laravel, React.js, Vue.js, Node.js, Express.js, MySQL, and MongoDB.
  • AI/ML Research: Specializing in Image Processing and Computer Vision, with experience in Convolutional Neural Networks (CNNs) and Deep Learning models for real-world applications like Potato Disease Detection and medical AI.
  • E-commerce Development: Building comprehensive e-commerce platforms with features like product management, dynamic attribute generation, and Excel export capabilities.

🌱 Current Focus

I’m currently working on an exciting E-commerce Project, where I'm responsible for building the full-stack architecture and enhancing features like product attributes, stock management, and more.


πŸ› οΈ Skills & Technologies

  • Frontend: HTML5, CSS3, JavaScript (ES6+), React.js, Vue.js, Bootstrap, Tailwind CSS
  • Backend: Laravel, Node.js, Express.js, RESTful APIs
  • Databases: MySQL, MongoDB
  • AI & Machine Learning: TensorFlow, PyTorch, OpenCV, CNNs, Image & Video Processing
  • Tools & Platforms: Git, GitHub, Docker, AWS, Linux, Heroku
  • Others: Unit Testing, Agile Methodologies, DevOps

🌟 Notable Projects

  • Potato Disease Detection using Deep Learning: Developed a multi-level CNN model for detecting early and late blight in potato leaves with an accuracy of 99.75%.
  • Dynamic Product Attribute Management: Created a dynamic attribute generation system for an e-commerce platform, enabling customized product attributes based on category selection.

πŸ“« Let's Connect


πŸ’» Tech Stack:

C C++ CSS3 HTML5 JavaScript PHP Python Heroku Bootstrap Django jQuery React Postgres PyTorch TensorFlow NumPy Keras Pandas Docker Laravel
CodeIgniter
LLM
OpenCV
Computer Vision
3D Images
Chatbot
SQL
Vue.js
.NET


I love working on challenging projects and am always eager to explore new technologies in both web development and AI. Feel free to check out my repositories or reach out to collaborate on exciting projects!


πŸ“Š GitHub Stats:



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  1. Advanced-Lanes-Detection Advanced-Lanes-Detection Public

    An advanced lane detection system for improving vehicle safety

    Python 2

  2. Article_Recommendation_System-with_Machine_Learning Article_Recommendation_System-with_Machine_Learning Public

    Jupyter Notebook 1

  3. Classification-with_Neural_Networks_using_Python Classification-with_Neural_Networks_using_Python Public

    Python

  4. Time_Series_Analysis_using_Python Time_Series_Analysis_using_Python Public

    Python

  5. Netflix_Stock_Price_Prediction_with_Machine_Learning Netflix_Stock_Price_Prediction_with_Machine_Learning Public

    Python