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Huzaifa H. - Fullstack Developer, Amazon EC2, Google Cloud

Working at Softaims has been an experience that continues to shape my perspective on what it means to build quality software. I’ve learned that technology alone doesn’t solve problems—understanding people, processes, and context is what truly drives innovation. Every project begins with a question: what value are we creating, and how can we make it lasting? This mindset has helped me develop systems that are both adaptable and reliable, designed to evolve as business needs change. I take a thoughtful approach to problem-solving. Instead of rushing toward quick fixes, I prioritize clarity, sustainability, and collaboration. Every decision in development carries long-term implications, and I strive to make those decisions with care and intention. This philosophy allows me to contribute to projects that are not only functional, but also aligned with the values and goals of the people who use them. Softaims has also given me the opportunity to work with diverse teams and clients, exposing me to different perspectives and problem domains. I’ve come to appreciate the balance between technical excellence and human-centered design. What drives me most is seeing our solutions empower businesses and individuals to operate more efficiently, make better decisions, and achieve meaningful outcomes. Every challenge here is a chance to learn something new—about technology, teamwork, or the way people interact with digital systems. As I continue to grow with Softaims, my focus remains on delivering solutions that are innovative, responsible, and enduring.

Main technologies

  • Fullstack Developer

    15 years

  • Python

    5 Years

  • JavaScript

    5 Years

  • MEAN Stack

    2 Years

Additional skills

  • Python
  • JavaScript
  • MEAN Stack
  • Django
  • AWS Lambda
  • AWS CloudFormation
  • Terraform
  • Amazon ECS
  • Linux
  • Git
  • Amazon API Gateway
  • Kubernetes
  • Docker
  • DevOps
  • Amazon EC2
  • Google Cloud

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Experience Highlights

Developed Secure Payment Gateway with Python (Flask) & React (Next.js)

Developed a payment gateway solution that streamlines financial transactions with secure processing and real-time approvals. Built with Python Flask on the back-end, it ensures the secure handling of sensitive financial data. The front-end, powered by React.js and Next.js, offers a responsive, fast, and user-friendly interface, providing a seamless payment experience. Designed to efficiently manage transactions, approvals, and money transfers, this platform delivers security, speed, and reliability, enhancing financial operations.

Cricket Auction App Built with Vue.js (Nuxt) & Django (Python)

Designed and developed a robust Cricket Tournament Auction App to simplify and streamline player auctions. Built with Nuxt.js (Vue.js framework) and Vuetify, the front-end ensures a highly interactive and intuitive user experience. Powered by Django on the back-end, the app provides secure and efficient data handling. This solution is tailored for cricket enthusiasts, offering end-to-end functionality for seamless auction management. Tools and tech used include Python (Django), Nuxt.js, Vuetify, and responsive UI design principles.

Developed QJ Challenges – Interactive Quiz Web App (React & Django)

Developed and architected QJ Challenges, an interactive quiz web app using React.js framework for a dynamic front-end and Python Django for a robust back-end. Designed scalable solutions to ensure smooth user interactions, real-time performance, and secure data handling. Integrated features for tracking user progress and personalized quizzes, providing an engaging and educational experience. Focused on security, scalability, and performance throughout the development process.

Archery Scoring - Ionic, Golang, PostgresSQL

Developed an archery mobile and web application, in which a complete archery game can be formulated along with scoring and user registrations to users enrollment.

Mobile App & AI Software using MEAN, Ionic & Machine Learning

Intelligent Live Scoring Software and Mobile App developed from scratch using MEAN Stack, Ionic and Machine Learning techniques to make it intelligent for predictions.

Education

  • National University of Computer and Emerging Sciences

    Master of Science (MS) in Data Science

    2016-01-01-2019-01-01

  • National University of Computer and Emerging Sciences

    Bachelor of Computer Science (BCompSc) in Computer science

    2010-01-01-2014-01-01

  • TEC College

    High School in General Sciences

    2004-01-10-2006-04-10

  • Aptech Computer Institute

    Diploma in ACCP (Aptech Certified Computer Professional)

    2008-04-10-2011-12-10

Languages

  • English
  • Urdu