Sharvin Shah
About Sharvin Shah
Sharvin Shah is a Senior NLP Data Scientist at Cleo in London, England, with a background in machine learning and extensive experience in various engineering and research roles.
Company
Sharvin Shah is currently employed at Cleo, a financial technology company based in London, England, United Kingdom. He began his tenure with the company as a Senior NLP Data Scientist in July 2023. Cleo is known for its AI-powered financial assistant services, where Sharvin is expected to contribute with his expertise in Natural Language Processing.
Title
Sharvin Shah holds the title of Senior NLP Data Scientist. In this capacity, he leverages his expertise in Natural Language Processing to drive advancements and improvements in Cleo's AI-powered solutions. His role involves applying machine learning techniques to better understand and interact with user inputs.
Previous Experience at Salesforce
Before joining Cleo, Sharvin Shah worked at Salesforce as a Research Engineer from 2019 to 2022 in the San Francisco Bay Area. During his three-year tenure, he contributed to various projects involving machine learning and artificial intelligence, aiding in the development of innovative solutions for the company's product offerings.
Education and Expertise
Sharvin Shah earned his Master’s Degree in Computer and Information Sciences (Embedded Systems) from the University of Pennsylvania, where he studied from 2016 to 2018. He also holds a Bachelor’s Degree in Electrical and Electronics Engineering from Birla Institute of Technology and Science, Pilani, where he studied from 2010 to 2014. His academic background provided a strong foundation in machine learning and embedded systems, which he applies in his current work in Natural Language Processing.
Background in Artificial Intelligence
Sharvin Shah has accumulated extensive experience in the field of artificial intelligence through various roles. In 2018, he worked as an Artificial Intelligence Intern at Siemens in Princeton, New Jersey, for six months. Earlier, he was a Genomics Bioinformatics Intern at Penn Medicine, University of Pennsylvania Health System, from 2017 to 2018. His professional journey has consistently involved applying AI and machine learning techniques across different domains, reflecting his strong interest in the field.