About

Adithya Subramanian is a skilled graduate student at the University of Southern California (USC), with a passion for using machine learning and deep learning to solve complex computer vision and natural language processing problems. He is currently working with the Neuroimaging Lab at USC, where he is using Deep Neural Networks to detect Alzheimer's disease. Adithya is a highly motivated individual who is always eager to learn and expand his knowledge base. He enjoys collaborating with colleagues and mentors to tackle challenging problems and build innovative applications. Adithya is currently working as a Software Development Engineer at Amazon, where he is involved in developing cloud solutions using technologies such as Lambda, ECR, S3, DynamoDB, Elastic Search, EFS, SageMaker, and Step Functions. Adithya has also worked as a Junior Machine Learning Engineer at Keck Medicine of USC, where he conducted research at the Aging and Dementia Lab. Prior to that, he gained valuable experience as a Software Engineer Intern at Amazon. Adithya holds a Master of Science degree in Computer Science from USC and a Bachelor's degree in Computer Science and Engineering from VIT. Adithya's technical skills include expertise in software engineering, machine learning, deep learning, computer vision, NLP, neural networks, and elastic search. He has experience working with various models such as LDA, ProdLDA, CTM, ZeroShot-CTM, BertTopic, HierSum, CopyCat, FewSum, T5, and Bart-MNLI. Adithya's relevant experience in the field is 3.85 years. Adithya is always looking for opportunities to collaborate and learn from others. He is an active member of the NiftyTorch community and welcomes contributions to this open-source project. Adithya is a dedicated professional with a strong work ethic and a passion for using technology to solve real-world problems.