Ilia Korchagin
About Ilia Korchagin
Ilia Korchagin is a Sales Development Representative at HumanFirst, where he has worked since 2022 in Montreal, Quebec. He has a background in research and education, having held positions at various institutions, including the University of Arizona and the Massachusetts Institute of Technology.
Work at HumanFirst
Ilia Korchagin has been employed as a Sales Development Representative at HumanFirst since 2022. In this role, he promotes HumanFirst.ai, a no-code solution for data management, which is recognized by major industry players. His responsibilities include engaging in strategic discussions with upper management to optimize sales practices and focusing on improving the handling of raw, unstructured data for companies that utilize chatbots and virtual assistants.
Previous Experience
Before joining HumanFirst, Ilia Korchagin held various positions that contributed to his expertise in data management and research. He worked as a Research Collaborator at the University of Arizona from 2020 to 2021 and at the Massachusetts Institute of Technology for one month in 2016. Additionally, he served as an Academic Instructor at Lumist for two months in 2021 and as a Business IT Analyst at Renno & Co from 2021 to 2022. His experience also includes being a Student Researcher at the University of Chicago from 2018 to 2020.
Education and Expertise
Ilia Korchagin earned a Bachelor's degree in Physics from Queen's University, where he studied from 2015 to 2020. His academic background laid the foundation for his expertise in connecting professionals with natural language understanding (NLU) data management solutions. He advocates for integrating human elements into data processing to enhance NLU model outcomes, focusing on model scalability and accuracy.
Focus on Data Management Solutions
In his professional capacity, Ilia Korchagin emphasizes the importance of effective data management solutions. He specializes in improving the handling of raw, unstructured data, which is critical for companies that depend on chatbots and virtual assistants. His work aims to enhance the performance and reliability of NLU models through strategic integration of human elements in data processing.