About

Gopinath Chennupati is an accomplished Applied Scientist at Amazon, with a focus on Automatic Speech Recognition (ASR), federated learning, and deep learning. With over 7 years of experience, Gopinath has worked on a diverse set of research areas, including unsupervised learning, parallel and distributed computing, performance modeling, and bio-informatics. During his tenure at Los Alamos National Laboratory, Gopinath worked on several projects, including deep learning for cancer pathology reports and uncertainty quantification, probabilistic models for performance modeling and software/hardware and/or exascale codesign, and simulation of a 16.7 M node supercomputer. He also worked on protein 3D structure prediction using machine learning and global optimization methods. Gopinath's experience also includes working as a Data Scientist at Mobacar, where he delivered a recommendation engine for the ground fleet built in Java that has a response time of 0.1sec. He built the World's first retail intelligent ground transportation distribution platform, Decision Neural Analytics Platform (DNA), which enables airlines, online travel companies, and travel agents to access a large array of ground transportation fleet in real-time. Gopinath's competencies include deep learning, unsupervised learning, automatic speech recognition, machine learning, Python, C/C++, LaTex, Java, exascale computing, OpenMP, and MPI. He has a Doctor of Philosophy (Ph.D.) in Computer Science from the University of Limerick, a Master's Degree in Web Technologies from National College of Ireland, and a Bachelor of Technology (B.Tech.) in Information Technology from JNTU. Gopinath is a skilled Research Scientist with expertise in Deep Learning, ML, Data Scientist, Java, NLP, C, Python, Spring, and more. With a relevant experience of 7.43 years, Gopinath is a valuable asset to any team he is a part of.