Miankhalil Ullah

Computer Science graduate specializing in Artificial Intelligence, with a strong foundation in machine learning, deep learning, computer vision, and data science. Experienced in building and evaluating predictive and visual recognition models using Python, TensorFlow, and PyTorch. Focused on applying AI-driven solutions to practical, real-world problems.

Machine Learning & Artificial Intelligence Intern - Institute of West London, Islamabad - Islamabad

Gained hands-on experience across the full ML lifecycle, from data preprocessing and model development to evaluation.

• Built predictive and classification models using Python, TensorFlow, and scikit-learn.
• Contributed to AI-driven data analysis and automation projects.
• Collaborated on deep learning and computer vision research and presented findings to the team.
• Developed a CNN-based traffic sign recognition system on the GTSRB dataset, classifying 43 sign categories with high accuracy through image preprocessing, training, and performance evaluation.
• Built a loan approval prediction system using applicant data, covering preprocessing, exploratory data analysis, feature engineering, and model evaluation to classify applications as approved or rejected.
• Built a Walmart sales forecasting model using machine learning and time-series analysis to predict sales trends from historical sales, store, and economic data.

BS (Hons) - Computer Science — Artificial Intelligence - Abdul Wali Khan University, Mardan (2021-01 - 2025-12)

FSc - Pre-Engineering - Government Higher Secondary School, Gandigar, Dir Upper (2019-01 - 2020-12)

SSC - Matriculation - Tameer-e-Seerat Public School, Seri, Dir Upper (2017-01 - 2018-12)