Peng Qiao

Peng Qiao has a diverse work experience spanning over several companies and roles. Currently, Peng is a Software Engineering Manager and Technical Lead for AI/ML Tools at Innatera since April 2022. They previously held the position of Staff Software Engineer for AI/ML Tools at Innatera from October 2021 to April 2022.

Before joining Innatera, Peng served as a Software Architect at Silicon Integrated Co., Ltd from March 2020 to September 2021. Prior to that, Peng worked as a Senior Software Engineer at GrAI Matter Labs from June 2018 to February 2020.

Peng has a significant tenure at Intel Corporation, where they held the role of Senior Software Engineer from August 2011 to May 2018. They played a crucial role in the development of multiple generations of product and were responsible for writing high-performance imaging processing programs on Intel multi-core camera imaging system. Peng also worked as a Software Engineer at Intel Corporation from February 2011 to July 2011, continuing their work on software models after Intel acquired Silicon Hive.

During their time at Silicon Hive, Peng held the position of Software Engineer from October 2010 to February 2011. They were responsible for the software model of a complete input system hardware of a camera imaging system. Prior to that, Peng served as an Intern, working on the project "Ultra-low Power DSP for Hearing Aids."

Peng began their career as an Intern at Philips Research in July 2009. During this time, they worked on the project "Orientation estimation and body-part segmentation based on motion vector analysis for sleep" in the Video Processing & Analysis Group.

Overall, Peng Qiao's work experience encompasses positions in software engineering, architecture, and leadership roles, primarily focused on AI/ML tools and imaging processing.

Peng Qiao has a strong educational background in the field of Electrical Engineering. Peng started their education at Zhejiang University, where they obtained a Bachelor's degree from the Chu Kochen Honors College in 2006. They continued their studies at the same university and completed a Bachelor's degree in Electrical Engineering in 2008.

Afterwards, Peng pursued a Master's degree in Electrical Engineering & Embedded Systems at Eindhoven University of Technology, which they successfully obtained in 2010.

In addition to their formal education, Peng has also obtained several certifications to enhance their skills. They completed courses on Design Patterns with Python and Foundations of Programming: Design Patterns from Lynda.com in March 2017. In May 2016, Peng earned a Machine Learning certification from Coursera Course Certificates.