Project Associate-I
Current- Implemented and compared an in-house federated learning framework with a leading open-source framework with 200+ clients.- Orchestrated the configuration of a 48-node cluster, focusing on developing a robust federated learning framework capable of utilizing clusters of different scales.- Worked on autonomous drones that leverage advances in Computer Vision & DNN models, along with an increase in compute capacity of edge devices designed to help visually impaired people with tasks such as path planning and obstacle avoidance.- Volunteered as part of the core organizing team for CCGRID’23, a conference attended by over 300 researchers.
Jan 2023 - Present
