QH

Qi He

Qi He - Director, Applied Science



Professional Overview



Qi He is an accomplished technology leader with extensive experience in artificial intelligence, engineering management, and research. As the Director of Applied Science at Amazon, he oversees the development and deployment of cutting-edge AI solutions to drive innovation and address complex business challenges. With a strong background in machine learning, natural language processing, and data analytics, Qi is a respected industry expert who contributes to the advancement of the technology field.

Experience Summary



Current Role


As the Director of Applied Science at Amazon, Qi is responsible for leading a team of talented researchers and engineers to develop and implement advanced AI-powered applications. He collaborates closely with cross-functional stakeholders to identify strategic opportunities, prioritize initiatives, and deliver high-impact solutions that enhance customer experiences and drive operational efficiencies. Under Qi's leadership, his team has successfully launched several industry-leading AI products, resulting in significant revenue growth and improved customer satisfaction.

Career Progression


Prior to his current role, Qi held various engineering leadership positions at prominent technology companies. As the Head of Artificial Intelligence and VP of Engineering at Nextdoor, he spearheaded the development and integration of AI-driven features that significantly improved community engagement and content moderation. Before that, Qi served as the Senior Director of Engineering at LinkedIn, where he led the engineering efforts behind the company's flagship products, contributing to their rapid growth and industry-leading status.

Earlier in his career, Qi held research roles at IBM Almaden Research Center and Penn State University, where he conducted groundbreaking research in natural language processing, machine learning, and data mining. His work has been published in prestigious academic journals and conference proceedings, solidifying his reputation as a thought leader in the field.

Academic Background


Qi holds a Ph.D. in Computer Science from Penn State University, where he specialized in artificial intelligence and machine learning. His academic achievements include numerous awards and recognitions, as well as active involvement in professional organizations such as the Association for Computing Machinery (ACM).

Areas of Expertise


  • Artificial Intelligence and Machine Learning

  • Natural Language Processing

  • Data Analytics and Business Intelligence

  • Engineering Management and Team Leadership

  • Innovative Product Development

  • Strategic Planning and Execution


Professional Impact


Throughout his career, Qi has made significant contributions to the technology industry. He has led the development of several groundbreaking AI-powered products that have transformed industries and delivered measurable business impact. Qi's work has been recognized by industry peers, and he has been invited to serve on the Board of Directors for the ACM CIKM, a prestigious conference focused on information and knowledge management.

Conclusion


Qi He is a seasoned technology executive with a proven track record of driving innovation and delivering exceptional results. His deep expertise in artificial intelligence, engineering management, and research, combined with his strategic vision and collaborative leadership style, make him a valuable asset to any organization seeking to leverage the power of AI to achieve their goals.