Profile & Professional Background
Noah Myrer is a data engineer with experience developing software solutions at the intersection of law, data, and cloud technology. He began his career as a full-stack developer at the University of South-Eastern Norway while completing his Bachelor’s degree. He later joined a leading Norwegian law firm, where he focused on building internal applications, APIs, and system integrations, gaining direct experience in applying data engineering within legal workflows.
Noah Myrer is a data engineer with experience developing software solutions at the intersection of law, data, and cloud technology. He began his career as a full-stack developer at the University of South-Eastern Norway while completing his Bachelor’s degree. He later joined a leading Norwegian law firm, where he focused on building internal applications, APIs, and system integrations, gaining direct experience in applying data engineering within legal workflows.
In addition to his work in legal tech, Noah has designed and implemented algorithmic trading and backtesting systems. This has strengthened his skills in Python and data science, as well as his ability to develop and evaluate logic-driven systems for real-time decision-making. His work reflects a strong focus on performance, maintainability, and clarity in data processing and software architecture.
Noah is committed to continuous learning and keeps his technical skills current through professional training and certifications. At Saga, he contributes to the development and maintenance of AI-driven infrastructure, supporting the integration of data tools and systems that enable efficient legal service delivery.
Education & Memberships
Noah holds a Bachelor’s degree in IT and Information Systems from the University of South-Eastern Norway. He has completed additional courses in mathematics and statistics at BI Norwegian Business School and artificial intelligence at Kristiania University College. He is certified as an AWS Cloud Practitioner and as a Microsoft Azure AI Engineer Associate, and has completed courses in Python for Data Science and Mathematics for Machine Learning.