Rachita Naik, a Machine Learning Engineer at Lyft and a Columbia University grad, dives into the fascinating world of machine learning in ride-sharing. She discusses the complexities of ETA predictions and the real-time algorithms that keep users informed. With an emphasis on dynamic pricing and safety, Rachita addresses the challenges of late model deployment and latency issues faced by millions. She also highlights the innovative role of AI, particularly generative technologies, in enhancing customer interactions and driving continuous improvement at Lyft.
