Paula Vergara
About Paula Vergara
Paula Vergara is a QA Manager currently working at Scale AI in San Francisco, California. She has extensive experience in quality assurance and machine learning, having held various roles at companies such as SKF Group and Anyone AI.
Current Role at ScaleAI
Paula Vergara serves as the QA Manager at Scale AI since 2023. In this role, she ensures adherence to best practices and coding standards during the code-correcting process. She leads a QA team focused on various projects, emphasizing quality assurance in machine learning applications.
Previous Experience in Quality Assurance and Engineering
Paula Vergara has extensive experience in quality assurance and engineering roles. She worked at SKF Group as Quality Control Responsible from 2014 to 2021 and as Application Engineering Coordinator from 2007 to 2014. Additionally, she held the position of Quality Responsible at Jtekt Automotive Argentina S.A. for six months in 2021 and served as a Quality Engineer at Celsur Logística S.A. from 2022 to 2023.
Machine Learning and AI Expertise
Paula has a strong background in machine learning and artificial intelligence. She worked as a Machine Learning Engineer at Anyone AI for one year in 2022-2023. Her expertise includes training AI chatbots using multiple programming languages and frameworks, such as JavaScript, C++, Python, and libraries like PyTorch, TensorFlow, and scikit-learn.
Education and Professional Development
Paula Vergara is currently pursuing a Software Engineering Magister at Universidad Nacional de La Plata, expected to complete in 2025. She also holds a Mechanical Engineer degree from the same university, achieved in 2009. Additionally, she completed an AI Programming with Python Nanodegree at Udacity in 2022 and earned a PMP certification in Project Management from IEEC in 2012.
Technical Skills and Proficiencies
Paula is proficient in a variety of technical tools and programming languages. Her skills include using the Data Science stack with SQL, NumPy, Pandas, Seaborn, and Matplotlib for data analysis. She is also experienced with Docker and AWS Microservices, enhancing her capabilities in software development and deployment.