Vishal Subbiah
About Vishal Subbiah
Vishal Subbiah is an ML Software Architect with extensive experience in machine learning frameworks and platforms. He has worked at notable institutions including Stanford University and Cerebras Systems, contributing to various research projects and leading the development of AI applications.
Current Role at Cerebras Systems
Vishal Subbiah currently serves as an ML Software Architect at Cerebras Systems, a position he has held since 2022. In this role, he focuses on the design and development of machine learning platforms and workflows. His work is aimed at accelerating AI applications, leveraging his expertise in machine learning frameworks. Subbiah's contributions are integral to the company's mission of creating innovative AI solutions.
Previous Experience at Cerebras Systems
Prior to his current role, Vishal Subbiah held several positions at Cerebras Systems. He worked as an ML Engineering Manager for ML Platforms and Workflow from 2021 to 2022, and as a Tech Lead for ML Framework from 2020 to 2021. Additionally, he served as a Machine Learning Engineer from 2018 to 2020. His responsibilities included leading the design and development of machine learning platforms, which significantly contributed to the company's AI initiatives.
Education and Expertise
Vishal Subbiah earned a Bachelor's Degree in Materials Engineering from the Indian Institute of Technology, Madras, where he studied from 2012 to 2016. He further advanced his education by obtaining a Master's Degree in Computational and Mathematical Engineering from Stanford University, completing his studies from 2016 to 2018. His academic background provides a strong foundation for his expertise in machine learning frameworks and platforms.
Research and Teaching Experience
Vishal Subbiah has a diverse background in research and teaching. He worked as a Graduate Teaching Assistant at Stanford University in 2017 and again in 2018. Additionally, he held research assistant positions at TU Darmstadt and the University of Saskatchewan, contributing to various projects in machine learning and optimization. His involvement in academia has enhanced his understanding of complex technical concepts.
Internships and Early Career
Vishal Subbiah began his professional journey with internships that provided valuable experience in the field. He interned at Ashok Leyland in 2014 and at American Express in 2017. These roles allowed him to apply his academic knowledge in real-world settings and gain insights into industry practices. His early career experiences laid the groundwork for his subsequent roles in machine learning and AI.