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Ali F. AI, Automation and Fullstack Platforms

My name is Ali F. and I have over 16 years of experience in the tech industry. I specialize in the following technologies: Software Architecture & Design, AI Development, Microservice, Java, PHP, etc.. I hold a degree in Masters, High School, Diploma, Master of Computer Science (MSCS), Doctor of Philosophy (PhD). Some of the notable projects I’ve worked on include: Health Prediction System, Infant Mortality Rate (IMR) Predictor, Numeric Data Predictor, Inland Revenue Information System (IRIS), Rocket Case, etc.. I am based in Islamabad, Pakistan. I've successfully completed 9 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • AI, Automation and Fullstack Platforms

    16 years

  • Lovable AI

    13 Years

  • AI Development

    4 Years

  • Langchain

    5 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Systems Limited

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Experience Highlights

Health Prediction System

Developed a machine learning-based Health Prediction System that identifies individuals at higher risk for certain diseases. The system uses algorithms to analyze patient data and predict health risks, allowing healthcare providers to intervene early with preventive measures. The platform supports data-driven decision-making, improving patient outcomes and saving lives through early detection and targeted interventions.

Infant Mortality Rate (IMR) Predictor

Developed an AI-based IMR Predictor that analyzes healthcare, socio-economic, and demographic data to predict infant mortality rates. The system identifies risk factors and patterns, helping policymakers take targeted actions to reduce infant mortality and optimize resource allocation. By leveraging machine learning, the platform provides accurate predictions, enabling early interventions to improve infant health outcomes.

Numeric Data Predictor

Developed a Numeric Data Predictor that uses machine learning to predict outcomes based on numerical datasets. The platform supports a variety of domains like finance, sports, and healthcare. Users can upload datasets, perform pre-processing, and make predictions using different estimators. The system evaluates model performance using metrics like mean absolute error and explained variance score, ensuring accurate predictions for unseen data.

Inland Revenue Information System (IRIS)

Designed and developed the Inland Revenue Information System (IRIS), an integrated platform for managing tax filing, taxpayer registration, payments, and e-filing in Pakistan. The system streamlines tax administration, allowing users to file returns, make payments, and access taxpayer services through an intuitive interface. Using a microservices architecture, the platform supports scalability and high performance, while ensuring secure and efficient processing of tax-related activities.

Rocket Case

Developed Rocket Case, a client communication platform for attorneys designed to streamline case management and client interaction. The platform allows attorneys to quickly send updates, request documents, and notify clients of court dates, enhancing client relationships and saving time. Integrated with Clio, it provides an intuitive interface that syncs case data, ensuring seamless communication while maintaining transparency and client trust.

Education

  • Hazara University

    Masters in Computer science

    2004-04-10-2008-01-10

  • ICS

    High School in Science

    1999-03-10-2001-03-10

  • GPGC Mansehra

    Diploma in Pre-Engineering

    2001-03-10-2003-03-10

  • Szabist Islamabad

    Master of Computer Science (MSCS) in Computer science

    2019-01-01-2021-01-01

  • SZABIST Islamabad

    Doctor of Philosophy (PhD) in Computer science

    2021-01-01-2025-01-01

Languages

  • English

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