Fawad Azher
Software Engineer
See my latest work
I highlight my pivotal role in a transformative project empowering individuals to shift from negative habits to positive ones. Using Django, jQuery, HTML, and CSS, I created a web-based platform hosted on AWS. Users selects their problem areas (e.g., finance, health, social), and received personalized video recommendations for behavior improvement. I designed an intuitive user interface, collaborating with data scientists to integrate AI algorithms. The recommendation engine dynamically adjusted suggestions based on user feedback. User testing refined the platform's user experience. This project showcased my expertise in UX/UI design, machine learning, and my commitment to using technology for positive impact.
See Work
This project is focused on project management and resource allocation within a company. Using Flask, React, and Antd, I worked on a web-based platform hosted on AWS, specifically designed for internal use by company employees. This platform provided management with the capability to assign tasks to employees and track their engagement levels. Through an intuitive user interface, management gained valuable insights into employee task progress and availability, enabling efficient resource management. This project highlights my proficiency in Flask, React, Antd, and AWS deployment, emphasizing my ability to create secure and accessible solutions tailored to meet internal company needs.
In this project I contributed in a university management system developed using ASP.Net (C#), Bootstrap, and jQuery. This comprehensive system aimed to streamline various administrative tasks within the university, including student enrollment, course management, grade tracking, and faculty management. Leveraging my expertise in ASP.Net, I played a pivotal role in designing and implementing key functionalities, ensuring seamless integration with Bootstrap for a modern and responsive user interface. The incorporation of jQuery enhanced the system's interactivity and user experience. As a key contributor to the project, I utilized my expertise in ASP.Net to design and implement the fee management module.
Leveraging the YOLO3 model for image processing and the Python scikit-learn library, I developed a system that accurately classified mobile devices into Android and iPhone categories. By analyzing images, the system determined the mobile's brand and model. Utilizing this information, the system then suggested an appropriate price range for the mobile device. This project showcases my proficiency in computer vision, machine learning, and Python programming, emphasizing my ability to apply advanced techniques for accurate classification and price estimation in the mobile industry.
Few things about me
As a highly skilled software engineer with expertise in various technologies, including Django, RestAPIs, GraphQL, Flask, React, Apollo Client, Docker, Redis, AWS, Agile, and Scrum. I have a proven track record of delivering scalable and high-performance solutions. With years of experience in developing RESTful APIs, working with Flask and Django frameworks, and deploying Docker containerized applications. I am also experienced in React, including developing reusable React components, building responsive web pages, and optimizing the performance of React applications. In addition to my proficiency in the above, I have a strong understanding of HTML and CSS
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