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Abbas Z. - Docker Developer, React Native, nextjs

My name is Abbas Z. and I have over 4 years years of experience in the tech industry. I specialize in the following technologies: Software Development, Product Development, Oracle Enterprise Service Bus, Python, ML Automation, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: PIX: Modern Payment Processing for Fuel Retailers, Pop.in: Enhanced Video Chat and Meeting Platform, Trakstar: Performance Management Optimization, RMI: Advanced Machine Learning Insights. I am based in Lahore Cantt, Pakistan. I've successfully completed 4 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • Docker Developer

    4 years

  • Software Development

    2 Years

  • Product Development

    3 Years

  • Oracle Enterprise Service Bus

    3 Years

Additional skills

Direct hire

Potentially possible

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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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