Speaking, Judging & Research Presentations

Served as a judge for participants in the Build with AI Hackathon, guiding teams through AI development challenges.

Led a fully hands-on workshop where participants actively built AI applications step-by-step using Cursor & Codex, focusing on tangible project creation over theory.

Delivered a guest presentation on artificial intelligence and its transformative impact on modern technology.

Served as a mentor for participants in the Build with AI Mini Hackathon, guiding teams through AI development challenges.

Conducted a workshop on building AI applications, covering fundamental concepts and hands-on implementation.

Presented on OpenAI's Agentic AI SDK, demonstrating its capabilities and practical applications.

Explored the intersection of artificial intelligence and design, discussing innovative approaches to creative problem-solving.

Presented co-authored research at the 7th International Multi-Topic ICT Conference (IMTIC'23), Jamshoro, Pakistan. Paper: "Enhancing Contextualized GNNs for Multimodal Emotion Recognition: Improving Accuracy and Robustness" — covering Graph Neural Network architectures applied to multimodal datasets for real-time emotion classification. Co-authored with Zain-Ul-Abidin, Prof. Khalid Mahboob, and Fayyaz Ali. Published in IEEE Xplore.

Presented co-authored research at the Global Conference on Wireless and Optical Technologies (GCWOT'23), Málaga, Spain. Paper: "Analyzing the Classification Performance of DenseNet121 on Pre-processed MIAS Dataset" — covering deep learning-based breast cancer classification using DenseNet121 on the MIAS mammography dataset, with preprocessing pipeline analysis. Co-authored with T. Mubeen, Zain-Ul-Abidin, P. O. Roth, and M. A. L. Nieto. Published in IEEE Xplore.

Delivered an accessible presentation on artificial intelligence for a broad audience.

75 live workshop sessions across multiple cohorts training 500+ participants. Covered convolutional networks (CNNs), recurrent networks (RNNs), transfer learning with pre-trained models, TensorFlow and PyTorch from scratch, and end-to-end model deployment pipelines. Practical-first: no theory slides without accompanying code. Curriculum later referenced by participants in university dissertations and industry projects.

Delivered a keynote presentation on Google Cloud Platform services and best practices.

30-session bootcamp series training 1,000+ participants — one of Pakistan's largest online ML programmes in 2020. Curriculum ran from Python and linear algebra fundamentals through supervised learning, decision trees, SVMs, neural networks, and scikit-learn project deployment. Every session ended with working code. Participants shipped real models by session 10.

Conducted a 6-day intensive bootcamp on Microsoft Azure cloud computing platform.

Delivered a keynote on entrepreneurship fundamentals and building successful tech startups.

Conducted a comprehensive program on GitHub and version control best practices.

Delivered the keynote address at the inauguration of Microsoft Students Community.

Presented on Flutter framework and cross-platform mobile development.

Served as a mentor for participants in the Google Cloud Jam event.

Delivered the keynote address at the inauguration of Google Developer Student Club at SSUET.