Julia Kroll
About Julia Kroll
Julia Kroll is an Applied Engineer with a background in data and machine learning, having worked at notable companies such as Amazon and HubSpot. She holds a Bachelor of Arts in Computer Science and Cognitive Science from Carleton College and a Master of Science in Computer Sciences from the University of Wisconsin-Madison.
Work at Deepgram
Julia Kroll has been working at Deepgram as an Applied Engineer since 2023. In this role, she focuses on leveraging her expertise in artificial intelligence and natural language processing to enhance the company's offerings. She has contributed to the development of tools and resources that improve user interactions with Deepgram's technology.
Previous Experience at Amazon
Julia Kroll held multiple positions at Amazon from 2017 to 2022. She worked as a Data Engineer - Alexa Artificial Intelligence, Data Engineer II - Alexa Artificial Intelligence, and Data & ML Engineer - AWS Professional Services. Her roles involved developing data-driven solutions and machine learning applications, contributing to the advancement of Amazon's AI capabilities.
Education and Expertise
Julia Kroll studied at Carleton College, where she earned a Bachelor of Arts in Computer Science and Cognitive Science. She furthered her education at the University of Wisconsin-Madison, obtaining a Master of Science in Computer Sciences. Her academic background supports her strong interest in the intersection of artificial intelligence and natural language processing.
Background in Software Engineering
Julia Kroll has a diverse background in software engineering, having worked at various organizations including HubSpot and WellSaid Labs. At HubSpot, she served as a Software Engineer for one year, while at WellSaid Labs, she worked as a Senior Machine Learning Engineer for eight months. Her experience spans multiple aspects of software development and machine learning.
Contributions to Natural Language Processing
Julia Kroll combines her knowledge of psychology and linguistics to explore the relationships between humans and computers. She focuses on creating a future where language serves as a universal interface between humans and machines. Additionally, she created a tutorial on logging Deepgram call summaries in Salesforce, demonstrating her commitment to improving user experience.