Faisal Shahzad

Delivered hands-on training in Artificial Intelligence, Machine Learning, and Deep Learning. Conducted practical labs using Python, Jupyter Notebook, and Google Colab. Guided trainees in understanding core ML/DL concepts and developing AI-based mini projects with real-world use cases.

Advanced academic training and applied research in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Medical Image Processing. Thesis focused on cross-lingual emotion detection (Urdu & English) using BERT-based models. Actively involved in AI-based research and voluntary mentorship of junior students on image-based and tabular datasets.

Graduate-level studies in information systems, programming, databases, and applied computing. This program strengthened problem-solving skills and provided a foundation for advanced work in Data Science and Artificial Intelligence.

Undergraduate education with focus on computing fundamentals, mathematics, and analytical thinking. Developed early interest in programming, data analysis, and problem-solving.