Experience

Turing AI

• United States
• Software Development
• 1 - 100 Employee

• VP of Engineering

  • Oct 2018 - Present

  VP of Engineering (2021-now) 1. Lead the entire Product Engineering teams at Turing (50+). 2. Along with a great team, I am responsible for building next-gen AI solution (Video Analytics, Robots) for commercial users (retailers, distribution center, banks, factories etc.) 3. Drive strategic direction in the team, organize team's norms and processes, uplevel team's engineering excellence and build a diversified yet healthy team culture Tech lead of the Software Group… Show more VP of Engineering (2021-now) 1. Lead the entire Product Engineering teams at Turing (50+). 2. Along with a great team, I am responsible for building next-gen AI solution (Video Analytics, Robots) for commercial users (retailers, distribution center, banks, factories etc.) 3. Drive strategic direction in the team, organize team's norms and processes, uplevel team's engineering excellence and build a diversified yet healthy team culture Tech lead of the Software Group (2019-2020) 1. Scaled our monolithic Django service to Golang/NoSQL/Kafka based micro-services architecture to support the 10x growing business; 2. Refactored streaming and recording architecture (WebRTC, HLS, RTSP etc.) to reduce latency and improve stability under private and public networks; 3. Built camera based AI and machine learning (queue intelligence, facial recognition, video analytics etc.) solutions for commercial users like Safeway etc.; Tech lead of the Robotics Group (2018-2019) 1. Implemented systems to support mapping/routing, elevator integration, on-demand and routine patrol for robots (SLAM/ROS/Lidar). 2. Developed and optimized customer facing features like live feed/cloud storage, fleet management, 3rd party integrations for the autonomous patrol Robot and laid the groundwork of massive robot deployment (+100) globally; 3. Successfully launched Turing Robots for Wanda Group (world's largest commercial real estate company) and deployed to over 50 major Wanda Plazas Three patents related to streaming, facial recognition and service provisioning Show less VP of Engineering (2021-now) 1. Lead the entire Product Engineering teams at Turing (50+). 2. Along with a great team, I am responsible for building next-gen AI solution (Video Analytics, Robots) for commercial users (retailers, distribution center, banks, factories etc.) 3. Drive strategic direction in the team, organize team's norms and processes, uplevel team's engineering excellence and build a diversified yet healthy team culture Tech lead of the Software Group… Show more VP of Engineering (2021-now) 1. Lead the entire Product Engineering teams at Turing (50+). 2. Along with a great team, I am responsible for building next-gen AI solution (Video Analytics, Robots) for commercial users (retailers, distribution center, banks, factories etc.) 3. Drive strategic direction in the team, organize team's norms and processes, uplevel team's engineering excellence and build a diversified yet healthy team culture Tech lead of the Software Group (2019-2020) 1. Scaled our monolithic Django service to Golang/NoSQL/Kafka based micro-services architecture to support the 10x growing business; 2. Refactored streaming and recording architecture (WebRTC, HLS, RTSP etc.) to reduce latency and improve stability under private and public networks; 3. Built camera based AI and machine learning (queue intelligence, facial recognition, video analytics etc.) solutions for commercial users like Safeway etc.; Tech lead of the Robotics Group (2018-2019) 1. Implemented systems to support mapping/routing, elevator integration, on-demand and routine patrol for robots (SLAM/ROS/Lidar). 2. Developed and optimized customer facing features like live feed/cloud storage, fleet management, 3rd party integrations for the autonomous patrol Robot and laid the groundwork of massive robot deployment (+100) globally; 3. Successfully launched Turing Robots for Wanda Group (world's largest commercial real estate company) and deployed to over 50 major Wanda Plazas Three patents related to streaming, facial recognition and service provisioning Show less



Snap Inc.

• United States
• Software Development
• 700 & Above Employee

• Software Engineer

  • Jan 2017 - Oct 2018

  Core team member in the Search Ranking team (SF-based). Features launched include the In-App Search and Discover Feed. 1. Search quality: identified signals to improve our search quality and built the training pipeline (Python, C++, Golang) 2. Search infrastructure: used BigQuery, Dataflow, BigTable, Spanner, Looker, Kubernetes etc. to build our serving pipelines and improve the performance 3. Image/video annotation: built workflows to process images/videos posted by Snap users and… Show more Core team member in the Search Ranking team (SF-based). Features launched include the In-App Search and Discover Feed. 1. Search quality: identified signals to improve our search quality and built the training pipeline (Python, C++, Golang) 2. Search infrastructure: used BigQuery, Dataflow, BigTable, Spanner, Looker, Kubernetes etc. to build our serving pipelines and improve the performance 3. Image/video annotation: built workflows to process images/videos posted by Snap users and annotate them with labels Show less Core team member in the Search Ranking team (SF-based). Features launched include the In-App Search and Discover Feed. 1. Search quality: identified signals to improve our search quality and built the training pipeline (Python, C++, Golang) 2. Search infrastructure: used BigQuery, Dataflow, BigTable, Spanner, Looker, Kubernetes etc. to build our serving pipelines and improve the performance 3. Image/video annotation: built workflows to process images/videos posted by Snap users and… Show more Core team member in the Search Ranking team (SF-based). Features launched include the In-App Search and Discover Feed. 1. Search quality: identified signals to improve our search quality and built the training pipeline (Python, C++, Golang) 2. Search infrastructure: used BigQuery, Dataflow, BigTable, Spanner, Looker, Kubernetes etc. to build our serving pipelines and improve the performance 3. Image/video annotation: built workflows to process images/videos posted by Snap users and annotate them with labels Show less



Google

• United States
• Software Development
• 700 & Above Employee

• Senior Software Engineer

  • May 2014 - Jan 2017

  Android Instant App Team (Mar 2016 - now) The Android Instant App enables users to use native apps almost instantly without installation simply by tapping on a URL (Announced in Google I/O 2016) 1. Designed and implemented the backend systems (API, storage, etc.) from scratch to support Android Instant App. 2. Collaborated with the mobile team to support and test all the features. Play Abuse Team (Nov 2015-now) The Play Abuse team is responsible for keeping bad behaviors… Show more Android Instant App Team (Mar 2016 - now) The Android Instant App enables users to use native apps almost instantly without installation simply by tapping on a URL (Announced in Google I/O 2016) 1. Designed and implemented the backend systems (API, storage, etc.) from scratch to support Android Instant App. 2. Collaborated with the mobile team to support and test all the features. Play Abuse Team (Nov 2015-now) The Play Abuse team is responsible for keeping bad behaviors off Google Play, which has 1 billion monthly users, 100M+ daily app downloads. These bad behaviors range from apps that violate developers program content policies to detecting repeat infringers, fake accounts, fake installs or fake apps. 1. Investigated the current issues (precision rate, review volume) in the performance of content review system. 2. Improved the machine learning based and rule based classifiers to provide a better precision rate of content review. 3. Reduced the review volume significantly using feature diffing and tracking and saved operation costs for Google Social Infrastructure Team (Oct 2014 - Nov 2015) 1. Migrated Google's current social backend services to next-generation infrastructures to power the growth of youtube, google+, hangouts, photos etc. 2. Improved End-to-End latency by refactoring modules within and across teams, prefetching data and reducing and reusing intermediate data exchange. 3. Used Dremel (a SQL-like language) to perform log analysis and identify the bottleneck and cause in the latency graph. Show less Android Instant App Team (Mar 2016 - now) The Android Instant App enables users to use native apps almost instantly without installation simply by tapping on a URL (Announced in Google I/O 2016) 1. Designed and implemented the backend systems (API, storage, etc.) from scratch to support Android Instant App. 2. Collaborated with the mobile team to support and test all the features. Play Abuse Team (Nov 2015-now) The Play Abuse team is responsible for keeping bad behaviors… Show more Android Instant App Team (Mar 2016 - now) The Android Instant App enables users to use native apps almost instantly without installation simply by tapping on a URL (Announced in Google I/O 2016) 1. Designed and implemented the backend systems (API, storage, etc.) from scratch to support Android Instant App. 2. Collaborated with the mobile team to support and test all the features. Play Abuse Team (Nov 2015-now) The Play Abuse team is responsible for keeping bad behaviors off Google Play, which has 1 billion monthly users, 100M+ daily app downloads. These bad behaviors range from apps that violate developers program content policies to detecting repeat infringers, fake accounts, fake installs or fake apps. 1. Investigated the current issues (precision rate, review volume) in the performance of content review system. 2. Improved the machine learning based and rule based classifiers to provide a better precision rate of content review. 3. Reduced the review volume significantly using feature diffing and tracking and saved operation costs for Google Social Infrastructure Team (Oct 2014 - Nov 2015) 1. Migrated Google's current social backend services to next-generation infrastructures to power the growth of youtube, google+, hangouts, photos etc. 2. Improved End-to-End latency by refactoring modules within and across teams, prefetching data and reducing and reusing intermediate data exchange. 3. Used Dremel (a SQL-like language) to perform log analysis and identify the bottleneck and cause in the latency graph. Show less



VMware

• United States
• Software Development
• 700 & Above Employee

• Member of Technical Staff (Software Engineer)

  • May 2013 - Aug 2013

  Intern as a backend engineer 1. Application deployment in VMware vCloud and Amazon EC2. 2. Source control management with Git/Svn/Cvs using Puppet/Chef/Opscode 3. Develop external APIs with Java Springsource framework Intern as a backend engineer 1. Application deployment in VMware vCloud and Amazon EC2. 2. Source control management with Git/Svn/Cvs using Puppet/Chef/Opscode 3. Develop external APIs with Java Springsource framework



Novel-SuperTV (NSTV)

• China
• Broadcast Media Production and Distribution
• 1 - 100 Employee

• Software Engineer Internship

  • Jun 2008 - Sep 2008

  1. Tested the CA kernel, fixed bugs and provided a comprehensive test environment for confirming correct kernel functionality on each platform. 2. Worked closely with a number of consumer electronics manufacturers to integrate the new kernel into their products and validate CA functionality. 1. Tested the CA kernel, fixed bugs and provided a comprehensive test environment for confirming correct kernel functionality on each platform. 2. Worked closely with a number of consumer electronics manufacturers to integrate the new kernel into their products and validate CA functionality.