Feng Qi's Email & Phone Number

💼 Past Experience

Work experiences:Group Software Engineer at Amazon, Amazon Web Services, Amazon Web Services (AWS), Amazon Elastic Photographs, Amazon Elasticsearch, Amazon RDS, Amazon Simple Storage Service, Amazon S3, Amazon Web Services (AWS) CloudFront, Amazon EC2, Amazon Web Services (AWS) Security Accounts Manager, Amazon Web Services (AWS)CloudFormation, Amazon IAM, Amazon Athena, Amazon EC2 Container Service.Work schedule:Feng Qi usually works on weekends, during weekdays he focuses on other workmodules.What do you enjoy most about your work?One of the things I enjoy the most about my work is that I'm able to work with a lot of different teams and countries. I also have the opportunity to learn new things and grow as a software engineer.

🎓 Education

After completing her undergraduate studies at Beijing No.4 high, Feng Qi subsequently earned her doctorate in Computational Neuroscience from the University of Southern California in2005. Following her doctoral studies, Feng Qi returned to Tsinghua University for her masters' degree in Computer Science in 2007.Feng Qi's professional background and work readiness:Feng Qi has a long and successful career in the industry in which she is currently involved. Beginning her career as a research associate at University of Southern California in 2007, she soon became head of the Computer Science department and ultimately held that position until she left in 2010 to become the head of the Research Division at Beijing No.4 high. In her previous positions, Feng Qi has played an important role in nurturing and developing the department's research program, Raindance new Carrie Kidney Machine and the Breakthrough project of the University of Southern California. This year, she also won the Xuexue fellowship, which awarded her a grant of ¥30 million to pursue her current research.Based on her overall professional and academic background, Feng Qi is highly experienced, competent and equipped in many areas of research and development. She is well-suited for leading and developing major investigations in the computer science field and is highly motivated and proactive in her work, enjoying working with challenging and innovative research projects. Her careful and discerning planning allows her to develop an efficient, effective and successful research program. Her innovative thinking and dedicated work ethic are highly appreciated by her colleages and their colleagues. Feng Qi is highly likely to be successful in her current research and career goals, with the potential to make important contributions to the field of computer science.

💡 Technical & Interpersonal Skills

Feng Qi's Technical Skills:3 years of experience with machine learning algorithms.5 years of experience with software engineering.A staff engineer at Ant Financial.