About

Anaga Rajan is a skilled Machine Learning Engineer with a passion for leveraging technology to solve complex business problems. Currently working at DoorDash, Anaga is responsible for developing and implementing machine learning models to optimize the company's supply and demand operations. With nearly 5 years of relevant experience, Anaga has honed her skills in the areas of ML, software engineering, and natural language processing (NLP). Before joining DoorDash, Anaga worked as a Software Engineer at Facebook, where she focused on ranking and NLP in Facebook Reality Labs (AR/VR). During her time at Facebook, Anaga also served as a Software Engineering Intern, where she contributed to the Newsfeed Machine Learning team. Anaga's educational background includes a Bachelor of Arts (B.A.) from the University of California, Berkeley, where she graduated in 2018. She also attended Monta Vista High School, where she developed a strong foundation in computer science and technology. Anaga's technical expertise includes a range of skills, including ML, software engineering, and NLP. She is highly proficient in programming languages such as Python and Java, and has experience working with tools such as TensorFlow, PyTorch, and Keras. Anaga is a detail-oriented and analytical thinker who enjoys working collaboratively with cross-functional teams to develop innovative solutions. She is passionate about staying up-to-date with the latest trends and advancements in ML and technology, and is always seeking opportunities to expand her knowledge and skills. Overall, Anaga Rajan is a talented Machine Learning Engineer with a proven track record of success in developing and implementing ML models to drive business growth and success.