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哈曼国际 - 高级首席感知架构师
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
有多年500强公司的产品和技术研发经验，在国际SCI上发表10篇计算机视觉科研论文，拥有发明专利30项，在机械设计，机器人，计算机视觉，深度学习，先进感知技术等领域有深入的研究和项目管理经验
East China University of Science and Technology
博士, Mechanical Engineering (Artifical Intelligence)
January 1, 2016 – January 1, 2021
哈曼国际
高级首席感知架构师
December 1, 2022 – Present
中国 上海市
深兰科技
感知智能研究团队负责人
March 1, 2021 – December 1, 2022
中国 上海市
霍尼韦尔
Lead Preception AI Scientist
October 1, 2017 – March 1, 2021
中国 上海市
TE Connectivity
Senior RD Engineer-Machine Learning & Digital Instrumentation
August 1, 2014 – September 1, 2017
Shanghai City, China
Honeywell Safety Products
Senior Product Development Engineer
April 1, 2012 – August 1, 2014
Shanghai City, China
Philips
Senior Product Engineer
October 1, 2011 – March 1, 2012
3M
Senior Product Engineer
January 1, 2005 – August 1, 2011
China
Shanghai General Motors
Quality Engineer
September 1, 2004 – December 1, 2004
China
NAVECO
Nanjin Auto Group Co.,Ltd
September 1, 1999 – August 1, 2001
Nanjing, Jiangsu, China
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Green Belt
Honeywell
June 24, 2026 – Present
Pro Engineering Certification
PTC Company
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple large international companies (Harman, Honeywell, TE Connectivity, Philips, 3M) and involvement in academic research (DeepBlue Technology, East China University of Science and Technology) suggests adaptability to various corporate cultures and research environments. Their leadership roles and contributions to innovation (patents, awards) indicate a proactive and results-oriented mindset. The breadth of projects, from ADAS to medical AI and industrial automation, demonstrates a versatile skill set and a willingness to tackle diverse technical challenges, which is beneficial for cultural fit in dynamic R&D settings. The target role 'Software Engineer' is broad, but the candidate's deep specialization in AI/ML/Computer Vision suggests a strong fit for roles focused on these areas within software engineering.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and project management skills, having led multiple teams and projects from conception to delivery. Experience in coordinating with internal and external stakeholders (e.g., universities, hospitals, suppliers, US plants) suggests good collaboration and communication abilities. The focus on R&D and problem-solving aligns well with roles requiring innovation and technical leadership. However, without specific psychometric or communication test results, a deeper assessment of stress handling, work attitude, and team collaboration is not possible.