About

Aubrey Gress is a highly skilled machine learning engineer with over 6 years of relevant experience. Currently working at LinkedIn as a machine learning engineer, Aubrey has previously worked as a software engineer intern at Google and a data science intern at Lawrence Berkeley National Laboratory. Aubrey's impressive education history includes a Bachelor's degree from Stanford University and a Master's degree from the University of California, Davis, both in computer science. Her expertise in machine learning, software engineering, and data science is evident from her TechStack, which includes ML, Software Engineer, and Data Scientist. Throughout her career, Aubrey has demonstrated a strong work ethic and a passion for innovation. Her ability to analyze complex problems and develop effective solutions has earned her a reputation as a valuable asset to any organization. Her experience in both industry and academia has provided her with a unique perspective on the application of machine learning and artificial intelligence. In her current role at LinkedIn, Aubrey is responsible for developing machine learning models and algorithms to improve the user experience. She collaborates with cross-functional teams to identify opportunities for automation and optimization, leveraging her expertise in data analysis and statistical modeling. Aubrey's passion for machine learning and her commitment to excellence make her an ideal candidate for any organization seeking a talented and dedicated machine learning engineer.