Tom Jc Liu

About Tom Jc Liu

Midea Silicon Valley team hire director/architect/engineer on speech technology, machine learning, artificial intelligence; computer vision/image understanding; natural language processing, Q&A AI system; audio signal processing(mic array), Amazon Alexa Voice Services; data mining/big data;IoT framework such as ZigBee cluster library, Iotivity/AllJoyn/OCF. Partnership manager. Send CV to T••••••••@midea.comMidea is the world’s largest producer of major appliances and the world’s #1 brand of air-treatment products. As a Fortune 500 company, Midea offers one of the most comprehensive ranges in the home appliance industry, including air treatment (HVAC for B2B and B2C), refrigeration, laundry, large cooking appliances, small kitchen appliances, water appliances, floor care and lighting.

Experience

1. Director of Technology Partnership and Product Management

   Huawei

   Oct 2011 — Present · Santa Clara, US

   Lead the Huawei’s smart watch project from product concept, charter proposal to product release in Mobile Work Congress of 2015. Drive the cooperation with Google Android Wear and Qualcomm for wearable products. • Develop business partners and drive Android mobile technology innovations for Huawei flagship products, such as Human Machine Interface, camera/video post processing, social network services • Lead cooperation with wireless/connectivity technology companies, OS vendors (Google Android, Microsoft Windows, Mozilla Firefox), UI/UX design firms, AI (face/fingerprint detection), multimedia and application/services partners (Dropbox, Google Drive, Doc); collaborate on feature planning/roadmap, customization and Go-To-Market strategy. • Drive cooperation on Android for education, Google Play for education with Huawei tablet team and other education publishers in China and EU. • Work on mobile broadband products (CE/M2M) portfolio planning; support M2M solution on telematics and in-car system applications.• Manage mobile application development and feature definition of tablet/OTT on Android TV platform, lead technology innovations on connected home and IoT solution.

Education

• Institute of Automation, Chinese Academy of Sciences

  Master of Engineering, Pattern Recognition and Artificial Intelligence

• University of California, Riverside

  M.S., Pattern Recognition and Machine Learning, Electrical Engineering

Skills

• Firmware
• Digital Signal Processors
• Rtos
• Debugging
• Mobile Devices
• Embedded Software
• Technology Innovation
• Mobile Applications
• Strategic Partnerships
• Wireless
• Software Development
• Device Drivers
• Perl
• Embedded Systems
• Windows Mobile
• Android
• Mobile Communications