About

Rahul Dubey is a highly skilled Machine Learning Engineer with extensive experience in building scalable ML systems in diverse domains such as Ads targeting, Search Ranking, User Modeling, and Recommendation Systems. He is currently working at Lyft as a Machine Learning Engineer, where he is responsible for developing and implementing ML solutions to improve the company's marketplace labs. Rahul's expertise lies at the intersection of Machine Learning, Software Engineering, and Data Engineering. He has a proven track record of delivering end-to-end ML systems that are robust, scalable, and efficient. He is well-versed in various ML techniques such as Deep Learning, Natural Language Processing, and Computer Vision. Prior to joining Lyft, Rahul worked as a Senior Software Engineer, Machine Learning at Mindstrong, where he developed ML engineering solutions to improve the care for mental health illness. He also served as a Machine Learning Engineer at Yelp, where he worked on connecting people with local businesses using recommendations and personalization. Rahul holds a Master of Science (M.S.) in Computer Science from the University of California, San Diego, and a Bachelor of Technology (B.Tech.) in Computer Engineering from Veermata Jijabai Technological Institute (VJTI). He is highly proficient in ML, Recommendation Systems, Data Engineering, Search, and Software Engineering. Rahul has 5.95 years of relevant experience in the industry. He is a proactive problem-solver with excellent communication and collaboration skills. He is passionate about leveraging his skills and knowledge to develop innovative solutions that can make a positive impact on people's lives.