Sriram Ravula
About Sriram Ravula
Sriram Ravula is an Artificial Intelligence Intern with a background in Electrical and Computer Engineering from The University of Texas at Austin, where he is also pursuing a PhD. He specializes in user-controlled algorithms for geophysical imaging and has held various research and internship positions in the field of artificial intelligence.
Work at SparkCognition
Sriram Ravula currently serves as an Artificial Intelligence Intern at SparkCognition, a role he has held since 2021. In this position, he focuses on applying artificial intelligence techniques to enhance various processes within the organization. His work contributes to the development of innovative solutions in the field of AI.
Education and Expertise
Sriram Ravula studied Electrical and Computer Engineering at The University of Texas at Austin, where he earned his Bachelor's Degree from 2014 to 2018. He is currently pursuing a Doctor of Philosophy (PhD) in the same field, expected to be completed in 2024. His academic background provides a strong foundation for his research and practical applications in artificial intelligence.
Background
Sriram Ravula has a diverse background in engineering and research. He worked as an Engineering Tutor at The University of Texas at Austin from 2016 to 2017, assisting students in understanding complex engineering concepts. He has also held various internships, including a position at InterDigital, Inc. as an Artificial Intelligence Intern in 2020.
Research Contributions
In his research, Sriram explores user-controlled algorithms to address inverse problems in geophysical imaging. He implemented a novel score-based generative network aimed at enhancing the seismic imaging process during his internship at InterDigital, Inc. His work contributes to advancements in the field of geophysical imaging.
Previous Experience
Sriram has gained valuable experience through various internships and research positions. He served as a Graduate Research Assistant at The University of Texas at Austin from 2018 to 2020, and he also interned at NXP Semiconductors as an Automotive Applications Engineering Intern in 2017. Additionally, he worked as an Undergraduate Researcher at the UT Dallas Advanced Polymer Research Lab in 2015.