Tech lead for machine learning infrastructure for motion planning at Aurora. Building ML datasets, running training/evaluation pipelines and working on various storage needs, dataset schema and efficient loading and training with large datasets.

Previously, tech lead and manager for localization at Aurora doing Lidar based localization against HD maps and inertial navigation with IMU and wheel encoders.

Highway driving with trucks: I work in the trucks team for driving on highways. Due to the confidential nature of the work, I cannot publish a lot of details.

AV Maps: The AV Maps team is responsible for producing the high definition maps needed for autonomous vehicles. This involved data collection, processing data to build localization and perception priors, ensuring quality checks, and an efficient work flow for humans and machines.

Vehicle Utilization: Worked on operator tools and metrics to monitor and improve autonomous

vehicle utilization.

India Growth: Our team was the one that introduced cash payments at Uber which has now become the dominant payment method for emerging markets. Worked on various India specific features such as auto-rickshaws, fare adjustments for Indian regulations, wallet solutions. Was able to dive into multiple code bases from marketplace, fares, to iOS and Android to get India specific features out. Worked closely with product managers and operation teams to brainstorm and drive ideas for growth in India. Team saw Uber grow from a minuscule player to a dominant one in India.

Driver Growth: Worked on driver funnel, tracking metrics and conversions. This involved a combination of web frontend, backend and mobile work.