About

Christina Kim is an accomplished ML Engineering/Research professional with over 8 years of relevant experience. Currently, she is working as a Scholar at OpenAI, a leading research organization focused on developing safe AI systems. In this role, Christina is involved in cutting-edge research and development of ML models to solve complex real-world problems. Prior to joining OpenAI, Christina worked as a Machine Learning Engineer at Sourceress, where she developed and implemented ML algorithms to enhance the recruitment process. She also served as a Founding Engineer at the same company, where she played a key role in building the company's technical infrastructure and developing its core products. Christina holds a Bachelor of Science degree in Computer Science from Northwestern University. During her time at Northwestern, she gained strong foundational knowledge in computer science and honed her skills in programming, data structures, and algorithms. Christina is a seasoned ML professional with expertise in a wide range of ML techniques and tools. She has a deep understanding of the latest research and trends in the field and is skilled in developing ML models for a variety of applications. Her tech stack includes ML and Research Scientist tools, which enable her to work with complex data sets and develop innovative solutions. Overall, Christina is a highly skilled and experienced ML professional with a passion for research and development. She is committed to staying at the forefront of the field and leveraging her skills and expertise to drive innovation and solve complex problems.