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Abbas Z. - Fullstack Developer, React Native, nextjs

Being part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.

Main technologies

  • Fullstack Developer

    4 years

  • Software Development

    3 Years

  • Product Development

    1 Year

  • Oracle Enterprise Service Bus

    1 Year

Additional skills

  • Software Development
  • Product Development
  • Oracle Enterprise Service Bus
  • Python
  • ML Automation
  • Docker
  • Software
  • node.js
  • SQL
  • React
  • Website
  • Ruby on Rails
  • React Native
  • nextjs

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Experience Highlights

PIX: Modern Payment Processing for Fuel Retailers

Developed a custom back-office reporting system for PIX, a modern payment processing app for fuel retailers, to sync daily activities with metro accounting software. Additionally, I created a bespoke reporting system that generates detailed reports tailored to specific requirements, providing valuable insights and analytics. These solutions supported informed decision-making and enhanced operational efficiency.

Pop.in: Enhanced Video Chat and Meeting Platform

Developed and optimized a robust video chat and meeting platform using Ruby on Rails (RoR) for Pop.in. My solution involved integrating real-time communication features, enhancing user interface responsiveness, and ensuring seamless scalability. This significantly improved user engagement and satisfaction, establishing Pop.in as a reliable and efficient platform for virtual meetings.

Trakstar: Performance Management Optimization

Developed statistical models and data-driven solutions using Python and SQL for Trakstar's HR performance management software. Implemented recommendation systems and predictive analytics features to optimize employee performance evaluations, enhancing the accuracy and efficiency of performance reviews and contributing to better decision-making processes in HR management.

RMI: Advanced Machine Learning Insights

Engineered advanced machine learning models and analytics platforms using Python, TensorFlow, and scikit-learn to enhance data-driven insights for the insurance industry. My solution improved predictive algorithms and operational efficiency, leading to more accurate risk assessments and providing greater value to clients.

Education

  • FAST- NUCES

    Bachelor of Computer Science (BCompSc) in

    2012-01-01-2016-01-01

Languages

  • English

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