Summary
Nayyar Zaidi is a Senior Lecturer and founder with nine years of professional experience bridging academic research and industry practice in data science and machine learning. Based in Melbourne, he leads teaching and research at Deakin University while running DataSmelly Pty Ltd, applying large-scale and distributed ML techniques to real-world problems such as campaign analysis, recommender systems, and online marketing. His PhD in Artificial Intelligence from Monash underpins a track record of scalable learning algorithm design, Big Models research, and hands-on work in deep learning from roles at Trusting Social and Monash. He is experienced in both generative and discriminative modeling, AB testing, and text analytics, and has designed production-oriented systems dating back to telecom OSS projects. Known for translating complex statistical methods into teachable curricula and deployable solutions, he combines academic rigor with entrepreneurial pragmatism. An interesting non-obvious detail: alongside academia he sustains product-focused R&D through his consultancy, keeping research insights rapidly actionable for industry clients.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BSc), Computer Science, A+ (83% overall), Bachelor of Science (BSc), Computer Science, A+ (83% overall) at University of Engineering and Technology, Lahore
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Monash University
English, Urdu