Arushi Raghuvanshi
About Arushi Raghuvanshi
Arushi Raghuvanshi is a Machine Learning Lead and Member of Technical Staff at Infinitus Systems, Inc., where she has worked since 2020. She has extensive experience in machine learning, having held positions at Cisco, MindMeld, and Microsoft, and holds both a Bachelor's and a Master's degree from Stanford University.
Work at Infinitus Systems
Currently, Arushi Raghuvanshi serves as a Member of Technical Staff and Machine Learning Lead at Infinitus Systems, Inc. She has been in this role since November 2020, contributing to various machine learning initiatives. Her work focuses on developing AI models that enhance efficiencies within the healthcare sector. Arushi values the collaborative efforts of her team at Infinitus, emphasizing their commitment to improving healthcare through technology.
Previous Experience at Cisco
Arushi Raghuvanshi worked at Cisco for a total of three years, holding two positions. She served as a Senior Machine Learning Engineer from 2017 to 2018, followed by her role as a Staff Machine Learning Engineer from 2018 to 2020. During her tenure, she contributed to machine learning projects that advanced Cisco's technological capabilities.
Education and Expertise
Arushi Raghuvanshi earned her Bachelor of Science degree in Computer Science and Electrical Engineering from Stanford University, studying from 2011 to 2015. She furthered her education at Stanford, obtaining a Master's degree in Computer Science from 2015 to 2016. Her academic background provides a strong foundation for her expertise in machine learning and artificial intelligence.
Background in Research and Internships
Arushi has a diverse background in research and internships. In 2013, she worked at Stanford University in the Robotics and Artificial Intelligence lab for five months. She also held internships at Microsoft, where she focused on security and antimalware as a Program Manager Intern, and at Google as a CSSI Intern. Additionally, she contributed to research in artificial intelligence and bioengineering at Stanford from 2012 to 2013.
Contributions to AI in Healthcare
At Infinitus Systems, Arushi Raghuvanshi has played a key role in developing AI solutions that address specific challenges in healthcare. Her initiatives focus on leveraging machine learning to improve operational efficiencies and enhance patient care. She has also authored a blog post titled 'Why Automating Phone Calls is Hard,' reflecting her insights into the complexities of AI applications.