University of California, San Diego (UCSD)

• Collaborated and implemented an AutoML framework using PyTorch for decomposing object features into domain-specific & class-specific representations using neural architecture search approaches to solve the problem of domain adaptation • Optimized the framework and employed ResNet architectures with supervised & semi-supervised settings, & achieved a state-of-the-art accuracy of 87.5%