Member of the Amazon Alexa Automotive engineering team working on the confidential project for

bringing the audio-first experiences in vehicles.

Member of the Concept Engineering team focused on new product ideas and markets within Amazon Lab126, includes but not limited to IoT products, Smart Home, and Wearable devices.

• Confidential Project #1: Designed and implemented the Alexa Voice Service client software for enabling Alexa experiences on the various microcontroller-based (RTOS-based) embedded systems. The target system includes Espressif ESP32, Mediatek MT7697, and i.MX RT600, with or without Digital Signal Processing units.

• Confidential Project #2: Responsible for leading the research project that will focus on to the capacitive sensing technology with the various sensing methods and materials. The purpose of this project is to seek the sensing methods that can be applied to the large surfaces inside the room such as walls, ceilings or floors, for detecting and analyzing the whole human body motion.

Member of the Amazon Alexa Automotive engineering team focused on developing embedded software

solutions (Alexa Auto SDK) for integrating Amazon’s Alexa voice service in vehicles.

The Alexa Auto SDK contains essential client-side software required to integrate Alexa into the automobile. The Auto SDK provides libraries that connect to Alexa and expose C++ and Java interfaces for your vehicle software to implement the platform-specific behavior for audio input, media streaming, calling through a connected phone, turn-by-turn navigation, controlling vehicle features such as heaters and lights, and more.

I was primarily responsible for the cross-platform support for Alexa Auto SDK, platforms including QNX, Automotive Grade Linux, Android, and Poky Linux. Along with the platform support, I was also responsible for the various software module on audio capture/playback functionalities.