Jacob Fuehne
About Jacob Fuehne
Jacob Fuehne is a Generative AI Engineer with a background in software engineering and artificial intelligence. He has worked at various companies, including Cognizant and AbbVie, and holds degrees in Computer Science and Linguistics from the University of Illinois Urbana-Champaign.
Current Role at Other World Computing
Jacob Fuehne currently holds the position of Generative AI Engineer at Other World Computing. He has been with the company since 2024, contributing to projects that leverage generative AI technologies. His role involves developing innovative solutions and enhancing existing systems to improve efficiency and functionality. The work environment is hybrid, allowing for both remote and in-office collaboration.
Previous Experience at Cognizant
Jacob Fuehne worked as an SQA Automation Engineer at Cognizant from 2021 to 2023. During his two years in this role, he focused on software quality assurance, implementing automation strategies to enhance testing processes. His work was conducted in a remote setting, which allowed him to collaborate with teams across various locations.
Education and Academic Background
Jacob Fuehne has a solid educational foundation in computer science and related fields. He earned an Associate of Science degree from Southwestern Illinois College from 2016 to 2018. He then pursued a Bachelor of Science degree in Computer Science and Linguistics at the University of Illinois Urbana-Champaign, completing it from 2018 to 2021. Currently, he is enrolled in a Master's program in Computer Science at the same university, expected to graduate in 2026.
Internship Experience at AbbVie
Jacob Fuehne completed a four-month internship as a Software Engineer Intern at AbbVie in 2019. During this internship, he implemented computer vision techniques to automate document processing, gaining practical experience in applying advanced technologies to real-world problems. This role contributed to his understanding of software development in a corporate environment.
Research in Natural Language Processing
During his undergraduate studies, Jacob Fuehne conducted research in natural language processing (NLP). He created a tool designed to make text uniquely identifiable while remaining semantically identical. This project reflects his interest in the intersection of linguistics and technology, showcasing his ability to apply theoretical knowledge to practical applications.