
Principal AI Scientist at Teledyne FLIR
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
• Over 10 year professional experience in research, software design and software development • Rich experience in on-device AI, robotics, and computer vision • Engaged and highly motivated team player with excellent problem-solving skills
Western University
Master of Science (M.Sc.), Computer Science
January 1, 2016 – January 1, 2018
Wuhan University
Bachelor of Science, Computer Science
N/A – Present
Teledyne FLIR
Principal AI Scientist
August 1, 2023 – Present
Teledyne FLIR
Senior AI Scientist
July 1, 2018 – August 1, 2023
GlucoGuide Corp.
Machine Learning Engineer & Team Lead
December 1, 2014 – June 1, 2018
London, Canada Metropolitan Area
Huawei
Software Architect
June 1, 2005 – July 1, 2013
Shanghai, China
Robotics Software Engineer
Udacity
June 24, 2026 – Present
Flying Car and Autonomous Flight Engineer
Udacity
June 24, 2026 – Present
Self Driving Car Engineer
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in AI/ML, computer vision, and distributed systems across various industries (telecom, healthcare, defense/aerospace). While their technical depth is significant, the target role is 'Android Developer'. Their resume shows experience with Objective-C and Swift for iOS apps, but direct, recent, and extensive Android development experience is not explicitly detailed. This creates a significant gap in cultural fit for a dedicated Android Developer role, despite their strong general software engineering and AI background. The certifications are also not directly related to Android development.
Soft Skills & Operational Fit
The candidate's experience as a team lead and software architect suggests strong leadership, problem-solving, and system design capabilities. Their work on widely adopted systems (Huawei OSS, Pelee2) indicates an ability to deliver impactful solutions. However, the provided data does not offer direct insights into communication style, stress handling, or specific team collaboration dynamics.