Zhan Shi Email & Phone Number
@amazon.com
LinkedIn matched
Who is Zhan Shi? Overview
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Zhan Shi is listed as Applied Scientist II at Amazon, a with 734811 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Zhan Shi.
Zhan Shi previously worked as Applied Scientist at Amazon and Senior Software Engineer at Inceptio. Zhan Shi holds Master Of Science, Computer Science from University Of Michigan - Rackham Graduate School.
Email format at Amazon
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AeroLeads found 1 current-domain work email signal for Zhan Shi. Compare company email patterns before reaching out.
About Zhan Shi
My expertise and area of interest are computer vision, machine learning and deep learning, especially applications in automotive and surveillance industry.• Professional skills in programming: C/C++, Python and Matlab• Hands-on experience with deep learning framework Pytorch, Tensorflow• Solid knowledge on machine learning algorithms and state-of-the-art deep learning networksEmail address: zhans@umich.edu
Listed skills include Machine Learning, Computer Vision, Data Analysis, Matlab, and 16 others.
Zhan Shi's current company
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Zhan Shi work experience
A career timeline built from the work history available for this profile.
Senior Software Engineer
Computer Vision & Machine Learning for L3 Autonomous TrucksLiDAR 3D Object Detection, Multi-Object Tracking, Sensor Fusion, Off-board Perception
Research Engineer
Worked at Automated Driving Group, GM Research & DevelopmentResearch on Computer Vision, Deep Learning algorithms.
Graduate Student Research Assistant
Research on object recognition, image processing, time series data analysis and mining, and deep learning.
Deep Learning Engineer
Internship at Intelligent Algorithm Group, Hikvision Research InstituteWorked on pedestrian/vehicle detection project using state-of-the-art deep learning algorithmsResearch on contrastive loss, triplet loss and coupled cluster loss for model optimization.
Colleagues at Amazon
Other employees you can reach at amazon.com. View company contacts for 734811 employees →
Syed Ateeb
Colleague at AmazonHyderabad, Telangana, India
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SS
Saja Sayed
Colleague at AmazonCairo, Egypt
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JJ
Jazmín Jiménez
Colleague at AmazonCosta Rica
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YV
Yerri Vlogs
Colleague at AmazonSpokane, Washington, United States
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KL
Keith Lancaster
Colleague at AmazonStockton, California, United States
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AS
Astrid Samaniego
Colleague at AmazonPhoenix, Arizona, United States
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MY
Melvin Young
Colleague at AmazonMentone, California, United States
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SA
Samuel Amaral
Colleague at AmazonMiddleboro, Massachusetts, United States
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AA
Amar Arefeen
Colleague at AmazonNew York, United States
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KV
Karthika V S
Colleague at AmazonBengaluru, Karnataka, India
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Zhan Shi education
Master Of Science, Computer Science
Bachelor Of Engineering, Information And Communication Engineering
Self-Driving Car Engineer Nano Degree
Frequently asked questions about Zhan Shi
Quick answers generated from the profile data available on this page.
What company does Zhan Shi work for?
Zhan Shi works for Amazon.
What is Zhan Shi's role at Amazon?
Zhan Shi is listed as Applied Scientist II at Amazon.
What is Zhan Shi's email address?
AeroLeads has found 1 work email signal at @amazon.com for Zhan Shi at Amazon.
Where is Zhan Shi based?
Zhan Shi is based in San Francisco Bay Area, United States while working with Amazon.
What companies has Zhan Shi worked for?
Zhan Shi has worked for Amazon, Inceptio, General Motors, University Of Michigan, and Hikvision.
Who are Zhan Shi's colleagues at Amazon?
Zhan Shi's colleagues at Amazon include Syed Ateeb, Saja Sayed, Jazmín Jiménez, Yerri Vlogs, and Keith Lancaster.
How can I contact Zhan Shi?
You can use AeroLeads to view verified contact signals for Zhan Shi at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Zhan Shi attend?
Zhan Shi holds Master Of Science, Computer Science from University Of Michigan - Rackham Graduate School.
What skills is Zhan Shi known for?
Zhan Shi is listed with skills including Machine Learning, Computer Vision, Data Analysis, Matlab, Caffe, Python, Research, and Laboratory.
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