Kathryn A Tuason from 1550 Eddy St, San Francisco, CA 94115, age 31

Kathryn Tuason Phones & Addresses

1550 Eddy St, San Francisco, CA 94115
Sunnyvale, CA
Blacksburg, VA
6421 Linway Ter, McLean, VA 22101 • 7034428143

Work

Company:

Cruise automation
Dec 2018
Position:

Senior systems test engineer

Education

Degree:

Bachelors
School / High School:

Virginia Tech
2012 to 2016
Specialities:

Electronics Engineering, Electronics

Skills

C++ • C • C# • Verilog • Basic Html • Ltspice • Eagle Pcb • Matlab • Autodesk Inventor • Mplab • Embedded Systems • Pcb Design • Project Management • Soldering • Prototyping

Industries

Automotive

Resumes

Senior Systems Test Engineer

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Location:

1550 Eddy St, San Francisco, CA 94115

Industry:

Automotive

Work:

Cruise Automation
Senior Systems Test Engineer
Stack Lighting Sep 1, 2015 - Aug 2017
Junior Electrical Engineer
Amp Lab Virginia Tech Sep 2013 - May 2016
Head of Operations
Stack Lighting May 2015 - Sep 2015
Hardware Engineering Intern
Virginia Tech May 2014 - Aug 2014
Undergraduate Researcher

Education:

Virginia Tech 2012 - 2016
Bachelors, Electronics Engineering, Electronics Virginia Tech 2009 - 2011
Bachelors

Skills:

C++
C
C#
Verilog
Basic Html
Ltspice
Eagle Pcb
Matlab
Autodesk Inventor
Mplab
Embedded Systems
Pcb Design
Project Management
Soldering
Prototyping

Us Patents

Dynamic Route Adjustment
view source
US Patent:

20200056901, Feb 20, 2020
Filed:

Aug 14, 2018
Appl. No.:

16/102993
Inventors:

- Detroit MI, US
Bradley David Ryan - San Francisco CA, US
Kathryn Alexis Tuason - San Francisco CA, US
International Classification:

G01C 21/34
G05D 1/00
Abstract:

An autonomous vehicle including a vehicle propulsion system, a braking system, a steering system, and a computing system. The computing system includes a processor and memory that stores computer-executable instructions that cause the processor to select a route for a passenger of the autonomous vehicle for a trip to a destination. The route for the passenger is selected from a plurality of potential routes. The route for the passenger is selected based on a preference of the passenger and aggregate ride quality feedback from passengers of autonomous vehicles in a fleet at locations along the potential routes to the destination. The processor is further configured to control at least one of the vehicle propulsion system, the braking system, or the steering system to move the autonomous vehicle along the route as selected for the trip to the destination.

Kathryn A Tuason