subhash padala

My name is Padala SSSS V Sri Vishnu Subhash, and I am a final-year Bachelor of Technology student majoring in Computer Science and Engineering at the Indian Institute of Technology Palakkad. My research interests are primarily focused on AI, Web3, and Generative Models. I have recently gained experience in Serverside Python and Javascript, including REST endpoints, and have also become proficient in modern Javascript programming for browser applications, with a strong understanding of integrating backend APIs. My previous research and work experiences include a summer internship at Arista Networks, where I updated Strata Priority-Flow-Control Watchdog and implemented a new Command Line Interface command, and a part-time internship at The Prints Company, where I trained Stylegan-3, Stylegan-2, and CLIP models for generating fashion artwork. I have also worked on a Research and Development Project titled Enabling Real-Time Feedback to Clinicians in Lung Ultrasound Imaging, where I worked on Mobile deployment of lightweight neural network for landmark detection in lung ultrasound, which gives live feedback to clinicians on image quality and lung infection severity, with a feasibility study on active learning framework for model performance improvement. This project was in collaboration with SCTIMST, Hospital Universitario Puerta de Hierro Spain.

Currently, I am working on my B.Tech project Learning Optimizers, which focuses on scalable learning to optimize. The project aims to learn RNN Optimizer for large scale models like GPT-3 and ResNet. I am also working on extending the paper "Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models." I am excited to participate in the hackathon conducted by NIT-Surathkal and showcase my skills in Natural Language Processing, Computer Vision, and Generative Models. With my experience in integrating and deploying AI models, as well as my proficiency in Serverside Python and Javascript, along with the recently learnt blockchain technology, I am confident that I would be a great fit for the hackathon