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Dr. Muhammad N. Cloud, Big Data and Machine Learning Platforms

My name is Dr. Muhammad N. and I have over 16 years of experience in the tech industry. I specialize in the following technologies: PostgreSQL, API Integration, Flask, CodeIgniter, MongoDB, etc.. I hold a degree in Doctor of Philosophy (PhD), Master of Computer Science (MSCS), Bachelor's degree. Some of the notable projects I’ve worked on include: Guaranteeing correctness of Ml-based decision-making at HEIs. I am based in Bahawalpur, Pakistan. I've successfully completed 1 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • Cloud, Big Data and Machine Learning Platforms

    16 years

  • PostgreSQL

    2 Years

  • API Integration

    12 Years

  • Flask

    4 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Systems Limited

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Experience Highlights

Guaranteeing correctness of Ml-based decision-making at HEIs

Advancements in software enable Higher Education Institutions to store vast student data, aiding decision-making that impacts policies and education quality. Machine learning excels in pattern recognition but is prone to bias and labeling errors. To mitigate these, this study introduces a supervised learning approach that validates decision rules using hierarchical Coloured Petri Nets. Formal verification ensures correctness and interpretability, achieving 98.68% accuracy, and enhancing academic decision-making processes.

Education

  • Islamia University Bahawalpur (IUB)

    Doctor of Philosophy (PhD) in Computer science

    2015-01-01-2021-01-01

  • Islamia University Bahawalpur (IUB)

    Master of Computer Science (MSCS) in Software Architecture

    2011-01-01-2013-01-01

  • Islamia University Bahawalpur (IUB)

    Bachelor's degree in Computer Science

    2001-01-10-2005-12-10

Languages

  • English

Personal Accounts