About

Arushi Raghuvanshi is a highly skilled Staff Machine Learning Engineer with over 6 years of relevant experience in the field. Currently working at Infinitus Systems, Inc. as a Member of Technical Staff - Machine Learning Engineer, Arushi is responsible for building AI models that improve efficiencies in the healthcare space. Prior to her current role, Arushi worked at Cisco as a Senior Machine Learning Engineer and Machine Learning Engineer. During her time at Cisco, she developed a Natural Language Processing pipeline for building production-level conversational interfaces, drove active learning for models in production, and researched speaker recognition for collaboration use cases. Arushi holds a Master's degree in Computer Science from Stanford University, where she also completed her Bachelor of Science in Computer Science and Electrical Engineering. She attended Jesuit High School before pursuing her higher education. With a strong tech stack that includes ML, Software Engineering, AI, and NLP, Arushi has a proven track record of success in the field. Her expertise in building AI models and developing NLP pipelines has made her a valuable asset to every team she has been a part of. In her current role, Arushi continues to push the boundaries of what is possible with AI. She is passionate about using technology to make a positive impact on society and is committed to staying up-to-date with the latest advancements in the field.