Pranav Sriram
About Pranav Sriram
Pranav Sriram is a Software Engineer with extensive experience in high-performance machine learning and algorithm development. He has worked at notable companies such as Cerebras Systems, Apple Health Records, Palantir Technologies, and Google, and has a strong academic background from Stanford University.
Work at Cerebras Systems
Pranav Sriram has been employed at Cerebras Systems as a Software Engineer since 2019. In this role, he focuses on developing graph algorithms and combinatorial optimization software tailored for massively parallel, high-performance machine learning applications. His contributions are integral to the company's mission of advancing AI capabilities through innovative hardware and software solutions.
Education and Expertise
Pranav Sriram completed his Master's degree in Computer Science at Stanford University from 2018 to 2019. He also earned a Bachelor of Science in Computer Science from Stanford University, studying from 2014 to 2018. His advanced coursework included distributed control, geometric data analysis, and algorithmic spectral graph theory. Additionally, he served as a teaching assistant for courses on artificial intelligence and discrete mathematics, further solidifying his expertise in these areas.
Background
Pranav Sriram's educational journey began at the International School Bangalore, where he studied from 2012 to 2014. He later pursued his undergraduate and graduate studies at Stanford University, where he engaged in various research projects, including work at the Stanford Artificial Intelligence Laboratory (SAIL) and the Multi-Robot Systems Lab. His background combines a strong foundation in computer science with practical experience in research and software engineering.
Internship Experience
Pranav Sriram has completed several internships that contributed to his professional development. He interned at Google in 2017 for three months, where he gained experience in software engineering. In 2018, he worked as a Software Engineering Intern at Palantir Technologies for two months in New York. Additionally, he interned at Gliimpse, which is now part of Apple Health Records, further expanding his skill set in the tech industry.
Research Contributions
During his time at Stanford University, Pranav Sriram conducted research in the Multi-Robot Systems Lab and the Kundaje Genomics Lab. His work involved developing software for graph algorithms and combinatorial optimization, which has applications in high-performance machine learning. This research experience has contributed to his understanding of complex systems and advanced computational techniques.