Xuebo (Jamie) Yang Email & Phone Number

San Carlos, CA, US

Sunnyvale, CA, US

Manages software solution for FireTV 3p integration.

Seattle, WA, US

I manage the Alexa Device NLU (Natual Language Understanding) team, Alexa Location Experience and Mapping Engineering team in US and India. My team build high quality customer facing products and features based on scalable and extensible architecture.

Seattle, WA, US

1. Team lead for the delivery and support of 4 critical Alexa platform and services, including Alexa diagnostic service, Voice initiated OTA (Over the air) Speechlet service, Alexa smart home device analytics platform, and Media Control Interface services.2. Alexa API Design Reviewer, holding the bar for the Alexa 1p and 3p APIs and SPIs.3. Amazon.

Seattle, WA, US

• Led the design and implementation of cloud services to enable multi-room music feature for Alexa devices across legacy generation and newer generation devices.
• Led the design and implementation of cloud services to diagnose Alexa connected Zigbee devices through topology quality and health status analysis, collaborated with Amazon customer support teams to launch the service.
• Led the design, implementation and launch of an analytics platform that enable clients to continuous ingest live data, and allows product team, QA, as well as developers to perform either offline analysis or live.
• Certified Amazon Bar Raiser

Seattle, WA, US

• designed and implemented cross device synchronization feature for FireOS apps
• led 2 person team to design and implemented personal catalog synchronization feature for Alexa Ebook TTS feature and launched into production.
• provided support for internationalization and localization for FireOS apps and Alexa devices.
• provided support for engineering excellence and operational excellence for FireOS apps and Alexa devices.

Seattle, WA, US

Seattle, WA, US

• Provide hands-on engineering design and implementation of software tools and processes to support Amazon’s mission-critical services.
• Utilize relational database management systems (RDBMS), scripting, and SQL programming in a UNIX/Linux environment to support and manage distributed software running with Oracle databases for large-scale.
• Plan and participate in implementing scaling activities for Amazon’s software fleets, and troubleshoot issues with large-scale software systems and end-to-end systems, providing technical details, as well as risk.
• Partner with engineering teams to debug software programs, make enhancements to existing software systems, and design and develop software features to ensure systems are scalable and supportable.
• Devise and set standards around software maintainability, and design and implement automation for manual tasks to improve efficiency.
• Using SQL, Perl, Java and Business Intelligence Analytics, collect and publish operational metrics and analyze trends.

Plano, Texas, US

• Developed and maintained relationship with OEM partners by assisting system level designs using Enseo products, and providing field testing and system debugging.
• Responsible as the single point contact for a 16-month multi-partner project for any technical issues that came up during the full system design, development, test and deployment cycle.
• Designed and coded applications to improve the QA workflow, and assist sales team for quick demo setup.
• Effectively communicate with the developer team, customers and senior executives.
• Updated all of the Enseo product literatures, and wrote app notes and user guides for new features.

Richardson, Texas, US

• Design and implement real time video processing algorithms for context aware in-vehicle computer vision system based on Matlab and C++.
• Collaborate across Audio/CAN-Bus/Image research groups to develop the intelligent vehicle system and testing prototypes with OpenCV library and Matlab GUI.
• Model lane detection system based on in-vehicle system dynamics and control theorem.
• Write documentation for the in-vehicle lane tracking code.

Improve the "Shot Boundary Detection" Algorithm as part of the TRECVID07 competition based on MPEG2 protocol by using inter-frame macro block coding in Visual Studio C++ environment.Optimize the system structure and improve the feature extraction module

Master, Electrical Engineering

Bs, Telecommunication Engineering