angad yennam

- Serving as a key member of the Nestle AI R&D team, focusing on building deep learning CNN and RNN model architectures for pet/animal action classification and recognition, aiming to accurately identify various pet actions in daily life environments. - Engage in all stages of the deep learning project lifecycle, including data labelling and cleaning, to ensure high-quality datasets for model training.

I had the privilege of working in the Applied AI Team, focusing on critical use cases for TECO Energy Inc & ComEd, which is an Exelon Company. My primary responsibilities included developing and implementing Deep Learning models to identify defects on electrical power poles and household energy meters. In this role, I architected the setup of Deep Learning models, utilizing Machine Learning frameworks and designing end-to-end pipelines for training execution and model deployment.