Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Rakesh Kumar

Rakesh Kumar
Software Engineer, Lyft

Rakesh Kumar is a software engineer on the pricing team at Lyft. He started his career as an embedded software engineer for mobile devices; later he moved to server-side engineer to tackle bigger challenges in distributed systems. His interests include machine learning and streaming systems.

Sessions

5:10pm–5:50pm Wednesday, March 27, 2019
The magic behind your Lyft ride prices: A case study on machine learning and streaming
Data Science, Machine Learning & AI
 Location: 2009
Secondary topics:  Data Platforms, Streaming, realtime analytics, and IoT, Transportation and Logistics
Rakesh Kumar (Lyft), Thomas Weise (Lyft)
Average rating: ****.
(4.00, 3 ratings)
Rakesh Kumar and Thomas Weise explore how Lyft dynamically prices its rides with a combination of various data sources, ML models, and streaming infrastructure for low latency, reliability, and scalability—allowing the pricing system to be more adaptable to real-world changes. Read more.