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Will Su
Tech Lead Manager
About
Will Su is a highly skilled and experienced Software Engineer in Machine Learning at Google, with a focus on Robotics, Machine Learning, Computer Vision, SLAM, Perception, and Motion Planning. He has extensive experience in the Autonomous Vehicle, Transportation, Trucking, and Surgical Robotics industries, and is skilled in using a range of tools including C++, Python, Linux, ROS, Tensor Flow, Pytorch, Caffe, and X86/ARM assembly. Currently working at Google, Will is focused on empowering Google Geo with AI and Machine Learning. He has also worked at Waymo as a Software Engineer, Perception, where he developed machine learning and computer vision algorithms for autonomous vehicle perception. In addition, he has worked at Byton as a Machine Learning/Computer Vision Engineer. Will's education includes a Master's Degree in EECS from the University of Michigan, where he focused on Robotics, Machine Learning, and Computer Vision. He also has a Bachelor's Degree in Computer Science & Electrical Engineering with a focus on Machine Intelligence from Purdue University. With over 4.79 years of relevant experience, Will is a highly skilled and sought-after Software Engineer in Machine Learning. His technical skills include Software Engineering, ML, Computer Vision, AI, Python, and Pytorch. He is passionate about using his skills and experience to develop innovative solutions in the field of Robotics and Machine Learning, and is committed to staying up-to-date with the latest developments in this rapidly evolving field.
Education Overview
• university of michigan
• purdue university
Companies Overview
• waymo
• byton
• university of michigan
• purdue university
Experience Overview
5.7 Years
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Experience
Skills
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Algorithms
Artificial Intelligence (AI)
C++
Computer Vision
linux
Machine Learning (ML)
Python
Pytorch
Robot Operating System (ROS)
Robotics
Software Engineer
Vision
Contact Details
Email (Verified)
szuXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
university of michigan
Master’s Degree
2016 - 2018
purdue university
Computer Science & Electrical Engineering
2012 - 2016
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