About

Conway Zhu is a highly skilled Machine Learning Engineer with over 4 years of experience in the field. He is currently working at Abacus.AI, where he is responsible for developing and implementing machine learning models to solve complex business problems. Conway began his career as a Software Engineer Intern at Microsoft, where he gained valuable experience working with large-scale software systems. He then moved on to Facebook, where he worked as a Software Engineer in Ads Ranking. During his time at Facebook, Conway was instrumental in implementing end-to-end machine learning improvements for App Ads Ranking, which significantly improved the accuracy and relevance of ads shown to users. Conway holds a Bachelor's degree in Mathematics and Computer Science from Northwestern University, where he gained a solid foundation in the fundamentals of computer science and machine learning. He is a highly skilled and motivated individual who is constantly seeking to improve his skills and stay up-to-date with the latest developments in the field of machine learning and AI. Conway's technical skills include expertise in machine learning, AI, and software engineering. He is a proficient programmer and has experience working with a wide range of programming languages and tools. He is also an excellent communicator and collaborator, with a proven track record of working effectively with cross-functional teams to deliver high-quality solutions. Overall, Conway is a highly skilled and motivated Machine Learning Engineer with a passion for developing innovative solutions to complex business problems. He is a valuable asset to any team and is committed to delivering exceptional results.