Gwendolyn Wahl
About Gwendolyn Wahl
Gwendolyn Wahl is a Senior Software Engineer II with extensive experience in various technology stacks and a background in music technology. She has worked for multiple companies, including Heyday and Matterport, and holds a Master's degree in Computer Science from Bowling Green State University.
Current Role at Heyday
Gwendolyn Wahl currently serves as a Senior Software Engineer II at Heyday, a position she has held since 2021. In this role, she contributes to the development of software solutions, utilizing her extensive experience in various technology stacks. Her work focuses on enhancing application performance and scalability, leveraging her background in software engineering.
Previous Experience at Heyday
Prior to her current role, Gwendolyn Wahl worked at Heyday as a Senior Software Engineer from 2019 to 2021. During this time, she was involved in multiple projects that required her expertise in software development and problem-solving. Her contributions helped shape the company's technical direction during her tenure.
Educational Background
Gwendolyn Wahl earned a Bachelor of Arts (B.A.) in Music Technology from Capital University, where she studied from 2009 to 2013. She later pursued a Master of Science (M.S.) in Computer Science at Bowling Green State University, completing her studies from 2013 to 2015. Her education provided a strong foundation in both technical and creative problem-solving skills.
Technical Skills and Expertise
Gwendolyn Wahl has extensive experience with various technology stacks, including Ruby on Rails, NodeJS, Python with Django, Java, C++, and C. She is proficient in relational databases such as Microsoft SQL Server, PostgreSQL, and MySQL, as well as non-relational databases like MongoDB and Redis. Her technical expertise extends to cloud computing, particularly within the Amazon Web Services (AWS) environment.
Research Interests and Projects
Gwendolyn Wahl has a strong interest in machine learning, computer graphics, graph theory, and network analysis. These areas were key focuses during her university studies. She has been involved in designing innovative machine learning approaches to natural language processing, showcasing her ability to apply her academic knowledge to practical applications.