I hold a Bachelor’s degree in Computer Engineering and a Master’s degree in Electrical Engineering with a specialization in Signal Processing, both from the National University of Sciences and Technology (NUST). My Final Year Project focused on emotion classification using ECG and GSR signals, reflecting my interest in physiological signal processing and affective computing. During my MS, my thesis centered on leveraging Generative Adversarial Networks (GANs) to address class imbalance challenges in medical datasets.

In addition, I have worked as a freelance Machine Learning researcher, gaining hands-on experience in Graph Neural Networks and Scene Graph Generation. These projects have deepened my expertise in deep learning and data-driven modeling. I am particularly passionate about staying current with developments in Generative AI, with a special focus on the emerging field of Agentic AI.

Areas of Interest / Research Interests:

• Deep Learning
• Generative AI
• Generative Adversarial Networks (GANs)
• Agentic AI
• Natural Language Processing (NLP)