Hi there, Kinza here!


Welcome to my Portfolio website.

I'm a passionate software engineer, proudly with a silver medal🥈 from Sukkur IBA University.
With a specialization in full-stack development, my focus primarily revolves around crafting seamless user experiences through captivating frontend solutions. 🚀 I craft captivating user experiences across web, mobile, and desktop platforms. Throughout my journey, I've had the privilege to collaborate with esteemed companies like Sound M and D, Marketplug and Cinqd. I'm eager to explore and innovate in all realms of software development! Let's collaborate and create something remarkable!

My portfolio contains my top skills and my previous work.

Skills

  • Website Development

    Front-End:
    HTML5, CSS3, Javascript, Typescript JQuery, Bootstrap, ReactJS, Material-UI, Semantic-UI, MDB, Bulma
    Back-End:
    NodeJS, ExpressJS, Php, Python, Fast API, Django, Flask
    Databases:
    MongoDB, MySql, PostgreSQL, SQLite, SQL Server DB

  • Software Testing

    Specialized focus on Quality Assurance (QA)
    Website testing, Manual testing, Functional testing, Usability testing, Acceptance testing, Regression testing, Interface testing, APIs testing with postman, UI/UX testing, Compatibility testing

  • Cloud and Devops

    Server Setup and Configuration, Frontend deployment on AWS using amplify, Backend deployment on AWS using EC2, Continuous Integration/Continuous Deployment (CI/CD), Server Monitoring and Maintenance, Scalability and Load Balancing, Containerization on Kubernetes, Docker, Add custom domain on server

  • Object oriented Analysis and design

    I can help you in UML diagrams and SRS document
    Diagrams includes: Use case, Sequence, System sequence, Class diagram, Activity Diagram, Communication Diagram, Domain Model, State Machine/Chart Diagram, Component Diagram, Data flow Diagram

  • Database Administration

    Database creation, Query Writing, optimization and query evaluation
    with MySql, MongoDB, SQL Server, Oracle, PostgreSQL, SQLite, MS Access

Portfolio

Here are some of my recent projects


Private Web7

PrivateWeb7 utilizes cutting-edge decentralized, end-to-end encryption to guarantee utmost user privacy and data security. With robust multi-factor authentication and continuous 24/7 monitoring, it effectively thwarts any malicious activities, ensuring a safe and secure online environment. This innovative platform plays a crucial role in protecting online interactions from pervasive data surveillance and privacy breaches, making it indispensable in today's digital landscape. If you'd like to explore the project further, you can visit the link.

Alumni Website for University

To maintain Alumni record, we developed website with MERN technology. Semantic-UI library was used fascinate the front-end. It has Dashboard to add, remove, search, update alumni members. If you'd like to explore the code on GitHub, visit the project repository.

Religious Assistant

The Religious Assistant app is designed to meet the requirements of Muslim and Hindu users alike. It provides a range of essential features, such as locating nearby Mosques and Temples, accurate prayer timings for each mosque, tracking of missed prayers and fasts, and Zakat calculations. For children, the app offers engaging games to learn Namaz. Additionally, users can access Qibla direction information, receive alerts for vegetarian and non-vegetarian days, as well as notifications for funeral arrangements, Eid prayers, and donation drives.

Pirate QR

Pirate QR is a web application designed to simplify the process of attaching photos and videos to QR codes. With this app, users can scan any QR code, such as those found on products, and easily associate multimedia content with it. The attached media can then be accessed by anyone who scans the same QR code using the app. If you'd like to explore the project further, you can visit the link.

Bank Management System

The Bank Management System is a comprehensive software solution designed to streamline banking operations and enhance user experience. I have created multiple diagrams, including class diagrams, sequence diagrams, and state diagrams, and more to illustrate the system's functionality and interactions. If you'd like to explore more diagrams, visit the link.

Intel Image Classification

Machine learning project to predict the images of six different classes. Data was pre-processed, visualized and so on using Python and its libraries. CNN algorithm was used, it reached 98% accuracy.

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