Anshul Samar
About Anshul Samar
Anshul Samar is a Senior Machine Learning Research Engineer at Cerebras Systems, where he has worked since 2018. He holds an M.S. in Computer Science and has over a decade of experience in deep learning, focusing on language modeling, machine translation, and speech recognition.
Work at Cerebras Systems
Anshul Samar has been employed at Cerebras Systems as a Senior Machine Learning Research Engineer since 2018. In this role, he focuses on optimizing data pipelines and exploring non-linearities in deep learning research. He engages in research and development involving advanced models such as GPT, BERT, and Seq2Seq. His work includes contributing to the training of large language models on the world's largest chip, which is a significant aspect of Cerebras Systems' innovative approach to AI.
Education and Expertise
Anshul Samar holds a Master of Science in Computer Science from Stanford University, where he also completed a Bachelor of Science in Mathematics. His educational background provides a strong foundation for his expertise in deep learning, particularly in language modeling, machine translation, and speech recognition. His academic experience is complemented by practical roles, including his time as a Research and Teaching Assistant at Stanford University.
Background
Anshul Samar's professional journey began with his role as CEO and Founder of Elementeo, where he worked from 2006 to 2012. Following this, he served as a Research and Teaching Assistant at Stanford University from 2013 to 2018. In 2017, he also gained experience as a Computer Vision Intern at Osmo for three months. His diverse background in leadership, research, and technical roles has contributed to his extensive knowledge in machine learning and deep learning.
Achievements
Anshul Samar has over a decade of experience in deep learning, with a focus on various applications such as object detection and satellite imagery analysis. His contributions to deep learning projects include significant advancements in language modeling and machine translation. At Cerebras Systems, he plays a crucial role in the development of large-scale AI models, leveraging the capabilities of advanced hardware to enhance machine learning research.