Muhammad Ayan

Computer Science graduate with strong expertise in Python programming, data science, machine learning, and engineering applications. I bring over 5 years of hands-on experience building AI-based solutions, with a clear focus on testing, automation, and full-stack development exposure.

I develop Python-based applications for automation, data processing, and system optimization, while writing functional and integration test cases using pytest. I also work with async programming, file handling, subprocess handling, and CLI-based debugging, supported by CI/CD using GitHub Actions and container-based execution with Docker.

On the data and AI side, I build machine learning models for classification and prediction, applying statistical analysis and performance evaluation metrics. I also work on AI data annotation, evaluation, and quality review—plus prompt engineering and LLM response evaluation—to improve model accuracy, clarity, and consistency for real-world datasets.