katamouni kranthi chaitanya goud

Machine Learning Engineer & Assistant

Ohio University (EECS)•  January 2024 - Present•  OH, USA

Leading a project focused on Anomaly detection within Decentralized Federated Learning networks. Employing Federated Learning techniques and Differential privacy to ensure data privacy & collaboration between distributed nodes. Actively exploring Generative and discriminative models, AutoEncoders, VAE, Graph Neural Networks.

Project Intern

RCI (DRDO)•  May 2022 - August 2022

Developed and implemented a Deep Learning Model to recognize daily activities from videos. Fine-tuned Neural Network Architecture for video-based action recognition, achieving high accuracy in customized activity detection. Conducted data Augmentation and pre-processing on video dataset to enhance model robustness and generalization. Collaborated with stakeholders to define action categories, ensuring model met specific real-world use cases.