Mar 2020 – Jun 2024 · 4 yrs 3 mos · San Francisco Bay Area

• Led the ML platform team to build scalable infrastructure for GenAI & ML to accelerate AI development.
• Check out out some impressive projects from my team members:
• https://doordash.engineering/2023/11/28/transforming-mlops-at-doordash-with-machine-learning-workbench/
• https://doordash.engineering/2022/04/12/3-principles-for-building-an-ml-platform/
• https://doordash.engineering/2020/07/20/enabling-efficient-machine-learning-model-serving/
• https://doordash.engineering/2020/11/19/building-a-gigascale-ml-feature-store-with-redis/
• https://doordash.engineering/2021/03/04/building-a-declarative-real-time-feature-engineering-framework/
• https://doordash.engineering/2021/05/20/monitor-machine-learning-model-drift/
• https://doordash.engineering/2021/01/26/computational-graph-machine-learning-ensemble-model-support/

Sep 2017 – May 2024 · 6 yrs 8 mos · San Francisco Bay Area

• MLOps with Ray - 2024
• Beginning Apache Spark 3 - 2021
• Beginning Apache Spark 2 - 2018

Feb 2017 – Mar 2020 · 3 yrs 1 mo · United States

• Lead a team to develop a solution in the area of feature infrastructure to help speeding up AI powered applications at model inferencing time.
• Lead a team to develop and manage a content processing platform to enable internal data scientists and engineers to easily develop end-to-end solutions to process content at real-time, store and serve the derived insights at on-line and off-line.

Apr 2016 – Feb 2017 · 10 mos · San Francisco Bay Area

• Led an incredibly talented team to provide real-time Uber marketplace business insights to other product teams to add value or improve rider and driver experience.
• Drove initiatives to improve real-time analytics system to power Uber marketplace product teams. This system leverages technologies like Apache Spark, Apache Samza and Elastic Search.
• Provided leadership and guidance to aid the development of business real-time event subscription system, which combines the power of real-time and historical data to provide insightful business insights and value to improve rider and driver experience.
• A recent talk about what my team does - http://www.infoq.com/presentations/real-time-streaming-uber

Sep 2014 – Mar 2016 · 1 yr 6 mos · Mountain View

• Leading a team to build Big Data applications and infrastructure.
• Segmentation and targeting platform
• Workflow and scheduling system

Nov 2010 – Aug 2014 · 3 yrs 9 mos · Mountain View

• Play a technical lead role on Segmentation & Targeting platform project
• Hack master
• Wrote a blog about "User Engagement Powered By Apache Pig and Hadoop" - http://engineering.linkedin.com/hadoop/user-engagement-powered-apache-pig-and-hadoop

Jan 2009 – Oct 2010 · 1 yr 9 mos

Aug 2007 – Jan 2009 · 1 yr 5 mos

Dec 2005 – Aug 2007 · 1 yr 8 mos

Jan 2007 – Present · 19 yrs 5 mos · Santa Clara, CA

• AI Business Practices Specialization
• Explore the characteristics of generative AI and learn real-world AI applications to improve workplace productivity
• Explore AI use cases and learn to streamline your daily tasks, such as document and presentation creation, report generation, and project management
• Previous program - Program Chair of Data Analytics Program & Instructor
• Bootstrap the Data Science program
• Recruit instructors and advisory board members
• Instructor of Introduction to Apache Spark with Scala courseC

Jan 2001 – Jan 2005 · 4 yrs

Jan 1999 – Jan 2001 · 2 yrs

Jan 1994 – Jan 1999 · 5 yrs