Samuel Sherman
About Samuel Sherman
Samuel Sherman is a Senior AI Engineer specializing in Retrieval Augmented Generation and Vector Search technologies at Project Canary in Denver, Colorado. He has a diverse background in data science and engineering, with experience at several notable companies including Amazon and Workday.
Current Role at Project Canary
Samuel Sherman serves as a Senior AI Engineer at Project Canary, a position he has held since 2023. Based in Denver, Colorado, he specializes in Retrieval Augmented Generation (RAG) and Vector Search technologies. His role involves leveraging advanced AI methodologies to enhance the company's capabilities in data analysis and machine learning.
Professional Experience
Samuel Sherman has a diverse professional background in data science and engineering. He began his career with internships at Quest Diagnostics in 2005 and 2006. He then worked as a Data Science Fellow at Galvanize Inc from 2015 to 2016. His experience includes a two-year tenure as a Data Scientist at Amazon from 2017 to 2019, followed by a role as a Machine Learning Engineer at Workday from 2019 to 2023. Additionally, he worked at KPMG US as a Data Scientist from 2016 to 2017 and as an Engineer at CB&I from 2012 to 2015.
Education and Expertise
Samuel Sherman holds a Bachelor of Science degree in Civil Engineering from the University of Vermont and a Master of Science degree in Structural Engineering from the University of Colorado Boulder. He has developed expertise in using LangChain and LlamaIndex for AI development, focusing on the application of Transformers in various AI projects.
Technical Specializations
Samuel Sherman specializes in Retrieval Augmented Generation (RAG) and Vector Search technologies within the field of artificial intelligence. His technical skill set includes the application of Transformers, which are pivotal in modern AI projects. He is proficient in utilizing tools like LangChain and LlamaIndex to enhance AI functionalities.