Shubhadeep B.
About Shubhadeep B.
Shubhadeep B. is a Software Engineer at Petuum, Inc., where he plays a significant role in shaping the product vision for deep learning frameworks Poseidon and Symphony OS. He has a diverse background in software engineering, data science, and technical program management across various companies and educational institutions.
Work at Petuum
Shubhadeep B. has been employed at Petuum, Inc. as a Software Engineer since 2018. In this role, he plays a crucial part in defining the product vision and strategy for the company's specialized deep learning frameworks, Poseidon and Symphony OS. He also serves as a Technical Program Manager, focusing on scalable machine learning, distributed machine learning, and platform infrastructure. His contributions are integral to the development of Poseidon, a framework designed for dynamic deep learning models applicable in natural language processing and video analysis.
Education and Expertise
Shubhadeep B. holds a Master of Science (MS) in Computer Science from The Johns Hopkins University, where he studied from 2015 to 2017. Prior to this, he studied Electrical, Electronics and Communications Engineering at the University of Leicester from 2009 to 2011. His educational background provides a strong foundation for his expertise in software engineering and machine learning, particularly in the context of deep learning frameworks.
Background
Before joining Petuum, Shubhadeep B. worked in various roles that contributed to his professional development. He served as a Data Scientist at Pluto7 from 2017 to 2018, where he focused on creating and managing deep learning models that integrate with software such as TensorFlow and Caffe. His earlier experience includes positions as an Embedded Software Engineer at Magna Infotech and as an Automotive Software Engineer at Pi Innovo in the United Kingdom. He also worked as a Technical Business Analyst at Johns Hopkins University from 2015 to 2017.
Technical Contributions
Shubhadeep B. has made significant technical contributions in the field of deep learning. He is involved in the development of Poseidon, which supports dynamic deep learning models for applications in natural language processing and video analysis. His work includes integrating deep learning models with popular software frameworks, enhancing the capabilities and performance of machine learning applications.