Srihas Rao
About Srihas Rao
Srihas Rao is an AI Software Engineer with a strong background in artificial intelligence and software development. He has held various roles in startups and consulting, while also pursuing his education in computer science.
Work at ScaleAI
Srihas Rao currently holds the position of AI Software Engineer at Scale AI, where he has been employed since 2024. In this role, he focuses on leveraging artificial intelligence to enhance various applications. His responsibilities include developing and fine-tuning models to improve operational efficiency and contribute to innovative AI solutions.
Current Roles and Responsibilities
In addition to his role at Scale AI, Srihas Rao is actively engaged in multiple positions. He serves as a Co-Founder at Longevity4all since 2020, contributing to the company's mission in the health tech sector. He also works as a Founding Engineer at Cognautica, where he has been involved for 11 months. Furthermore, he is an AI, Data Science & Security Intern at a Stealth Startup and a Software Engineer at Disruption Lab at Gies.
Education and Expertise
Srihas Rao completed his high school education at Adlai E. Stevenson High School, earning a High School Diploma. He then pursued a Bachelor's degree in Computer Science at The Grainger College of Engineering, where he was recognized as a James Scholar. His academic background provides a strong foundation for his work in artificial intelligence and software engineering.
Previous Work Experience
Prior to his current roles, Srihas Rao gained valuable experience through various internships. He worked as a Software Engineer Intern at Technisar Inc from 2022 to 2023 and as a Research Intern in Biomedical Engineering at the Illinois Institute of Technology in 2022. Additionally, he served as a Research Intern at the University of Chicago from 2021 to 2023, where he contributed to projects in a research setting.
Projects and Innovations
Srihas Rao has developed a tool powered by large language models aimed at managing and evaluating production pipelines. He has also fine-tuned a blended model and integrated it into an application, showcasing his skills in AI software engineering and his ability to innovate within the field.