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Software | Autonomous Vehicle | Radar | Perception
I graduated from University of Michigan, Ann Arbor with a Master degree from Electrical Engineer and Computer Science department. Currently, I am a engineer manager in Cruise Automation for autonomous vehicle development. Personally, I'm very passion in the autonomous vehicle development and vehicle active safety in the automobile industry. I believe this is a great pleasure as a member to explore the future possibility of technology. My specialties includes radar perception, object tracking, road model perception and threat assessment.
University of Michigan
Master’s Degree, Electrical Engineer: Systems
January 1, 2010 – January 1, 2012
National Chiao Tung University
B.S.E, Electrical and Control Engineering
January 1, 2004 – January 1, 2008
Cruise Automation
Engineering Manager
March 1, 2018 – Present
Cruise Automation
Software Engineer
July 1, 2017 – February 1, 2018
Delphi
Scene Perception Team Leader
August 1, 2012 – July 1, 2017
Kokomo, Indiana Area
US EPA National Vehicle and Fuel Emission Laboratory
Internship
May 1, 2011 – July 1, 2011
Ann Arbor, Michigan
National Chiao Tung University
Research Assistant
June 1, 2006 – November 1, 2007
Hsinchu, Taiwan
Computer Vision Nanadegree Program
Udacity
June 23, 2026 – Present
Deep Learning Nanodegree Program
Udacity
June 23, 2026 – Present
Machine Learning
Coursera
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily focused on autonomous systems, embedded software, and control engineering. While they have certifications in Machine Learning, Deep Learning, and Computer Vision, their professional experience is not directly in a pure Data Analyst role. The transition to a Data Analyst role would require a significant shift in focus from embedded systems and control to data manipulation, statistical analysis, and business intelligence. The project diversity is limited to automotive and robotics, which may not align with a broader data analyst role unless the target role is specifically within data analysis for autonomous systems.
Soft Skills & Operational Fit
The candidate's experience as an Engineering Manager and Team Leader suggests strong leadership, project coordination, and problem-solving skills. The descriptions of coordinating with various teams (customer, system, manufacturing, testing) indicate good communication and collaboration abilities. Experience with vehicle failure mode analysis points to a detail-oriented and robust approach to problem-solving.