Julia S.
About Julia S.
Julia S. is a Machine Learning Research Engineer at Scale AI in San Francisco, California, where she has worked since 2023. She holds a Master of Science in Computer Science from Georgia Institute of Technology and has completed internships at notable companies such as VMware, Meta, Snap Inc., and Roblox.
Work at Scale AI
Julia S. has been employed at Scale AI as a Machine Learning Research Engineer since 2023. In her role, she focuses on fine-tuning large language models for various enterprise use cases. Her work contributes to the development of advanced machine learning solutions that enhance data processing and model training efficiency.
Education and Expertise
Julia S. is pursuing a Master of Science in Computer Science at Georgia Institute of Technology, expected to complete in 2024. She previously earned a Bachelor of Science in Artificial Intelligence from Carnegie Mellon University in 2022. Her academic background provides a strong foundation in machine learning and software engineering principles.
Background
Julia S. has a diverse background in software engineering and machine learning. She has held multiple internships, including roles at VMware, Meta, Snap Inc., and Roblox. These experiences have provided her with practical skills in software development and data analysis, contributing to her expertise in machine learning applications.
Achievements
During her academic and professional career, Julia S. has designed catalog taxonomy data to generate synthetic data for model training. She developed a model training pipeline that improved category accuracy by 5-10% and decreased training time. Additionally, she created an application using few-shot learning with Mosaic MPT 7B Instruct, achieving 92% overall accuracy in extracting trade information from chat excerpts.