About

Linda Wogulis is a highly skilled Software Engineer with over 6 years of experience in the industry. Currently working at Elsevier, Linda is responsible for the creation and maintenance of Elsevier's healthcare knowledge graph platform which is composed of more than 400,000 medical concepts and 5 million relations. Her work involves building a cross-platform product through collaboration with multiple teams enabling the mapping of content to clinical terminologies used in electronic medical record systems. Linda is also responsible for developing the core, production infrastructure for scalable automated deployment, testing, monitoring, and documentation. She has designed and implemented a robust testing framework to ensure high-quality real-time data. Linda graduated from UC San Diego with a degree in Mathematics - Computer Science. She has worked as a Software Development Intern at KnuEdge where she worked to make the company's processing chip compatible with different technologies, particularly TensorFlow. She has also worked with the engineering team on improving sparse matrix multiplication algorithms optimized for KnuEdge's architecture. Linda has also served as a Teaching Assistant for undergraduate Calculus at the University of California, San Diego. Her students have praised her for her clear and effective explanations and her ability to make herself available for questions both during section as well as at the Calculus lab. Linda's technical skills include Software Engineering, testing, infra, Tensorflow, Research Scientist, and product designer. She is highly proficient in her work and has a keen eye for detail. Linda is a dedicated professional who is committed to delivering high-quality work. She is a team player who collaborates well with others and is always willing to go the extra mile to ensure that projects are completed on time and to the satisfaction of all stakeholders. With her skills and experience, Linda is a valuable asset to any organization she works with.