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Sr Deep Learning Software Engineer - Machine Learning Algorithm at Intel Corporation
I work productively in a competitive and challenging environment where I can help an organization to glow and expand by using my talents and skills in software and algorithm development. • Highly motivated and innovated software architect and developer • Strong problem solving skills • Result-oriented with full dedication of all commitments • Multiple leadership roles with a talent of forming new teams and starting projects from ground up • Quality-minded, organized, hard worker. • Good verbal and written communication skills
Purdue University
Ph.D., Computer Science
January 1, 1994 – January 1, 1999
Computing Center, Chinese Academy of Sciences
Master of Computational Mathematics, Numerical Analysis
January 1, 1988 – January 1, 1991
Nanjing University
Bachelor's degree, Computational Mathematics
January 1, 1984 – January 1, 1988
Intel Corporation
Sr Deep Learning Software Engineer - Machine Learning Algorithm
July 1, 2017 – Present
Portland, Oregon Area
Intel Corporation
Sr Software Engineer
April 1, 2017 – July 1, 2017
Portland, Oregon Area
Intel Corporation
Software Architect
August 1, 2016 – March 1, 2017
Portland, Oregon Area
Intel Corporation
Senior Software Engineer
July 1, 2011 – July 1, 2016
Portland, Oregon Area
Intel Corporation
Senior Software Engineer
May 1, 2005 – June 1, 2011
Portland, Oregon Area
Intel
Senior Software Engineer
March 1, 2002 – April 1, 2005
Portland, Oregon Area
Intel
Senior Software Engineer
October 1, 1999 – March 1, 2002
Portland, Oregon Area
Verizon (GTE)
Staff Software Engineer
May 1, 1999 – October 1, 1999
Computing Center, Chinese Academy of Science
Software Engineer and Researcher
January 1, 1991 – July 1, 1994
Beijing City, China
Cultural Fit Analysis
The candidate has a long tenure at Intel, working on diverse projects ranging from manufacturing automation to deep learning and autonomous driving. This demonstrates adaptability and a willingness to tackle varied technical domains. The academic background in computational mathematics and computer science, combined with practical application in advanced fields, suggests a strong learning orientation. However, the experience is heavily concentrated in large enterprise environments, and there is no explicit mention of open-source contributions or startup experience, which might be a factor for some cultural fits. The target role is 'Backend Engineer', and while the candidate has strong backend-adjacent skills (performance, architecture, core development), the recent focus on ML/DL might require a pivot or specific alignment within a backend team.
Soft Skills & Operational Fit
The candidate's extensive experience at Intel, including roles as a Software Architect and Development Lead, suggests strong operational fit and leadership capabilities. Collaboration with internal and external teams, mentorship, and training indicate good communication and teamwork skills. The descriptions imply a methodical and problem-solving approach to complex technical challenges.