Here are some of the projects I’ve worked on. Click on any project image or the GitHub link to explore the code and details.

Adversarial ML

NAG: Network Adversary Generator

A PyTorch implementation for generating adversarial examples to test the robustness of deep neural networks. Explores how small, imperceptible perturbations can mislead modern classifiers.

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Computer Vision · GAN

Face Aging Using Cycle GAN

A generative model that simulates realistic face aging and de-aging using Cycle-Consistent Adversarial Networks (CycleGAN), enabling unpaired image-to-image translation across age groups.

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Machine Learning

Clustered SVM with Reduced Support Vectors

A novel approach to Support Vector Machines that applies clustering to reduce the number of support vectors, improving training efficiency while maintaining classification accuracy.

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