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Shane Arney Phones & Addresses

  • 12 Glen View Dr, Annandale, NJ 08801
  • Raritan, NJ
  • Richmond, CA
  • Coram, NY
  • 1161 Cottage Green Way, Charlottesvle, VA 22903
  • Charlottesville, VA
  • Pasadena, CA
  • Los Angeles, CA
  • Santa Monica, CA
  • Seattle, WA

Work

Company: Scribd Apr 2019 Position: Senior engineering manager

Education

Degree: Bachelors, Bachelor of Science School / High School: Caltech 2000 to 2004 Specialities: Applied Science, Engineering

Skills

Software Development • Software Engineering • Software Design • Ruby • Object Oriented Design • Agile Methodologies • C • C++ • Ios • Ruby on Rails • Python • Product Management • Objective C • Javascript • C# • Visual Studio

Industries

Computer Software

Resumes

Resumes

Shane Arney Photo 1

Senior Engineering Manager

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Location:
12 Glen View Dr, Annandale, NJ 08801
Industry:
Computer Software
Work:
Scribd
Senior Engineering Manager

Microsoft Aug 1, 2018 - Feb 2019
Senior Engineering Lead

Bonsai Dec 2015 - Jul 2018
Head of Engineering

Opower Oct 2014 - Dec 2015
Engineering Manager, Bdr

Opower Nov 2013 - Oct 2014
Senior Software Engineer
Education:
Caltech 2000 - 2004
Bachelors, Bachelor of Science, Applied Science, Engineering
Skills:
Software Development
Software Engineering
Software Design
Ruby
Object Oriented Design
Agile Methodologies
C
C++
Ios
Ruby on Rails
Python
Product Management
Objective C
Javascript
C#
Visual Studio

Publications

Us Patents

Visual Aids For Debugging

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US Patent:
20180357152, Dec 13, 2018
Filed:
Aug 16, 2018
Appl. No.:
16/104062
Inventors:
- Berkeley CA, US
Shane Arney - Richmond CA, US
Assignee:
Bonsai AI, Inc. - Berkeley CA
International Classification:
G06F 11/36
G06N 3/10
G06K 9/62
G06F 3/0481
Abstract:
An AI engine is disclosed that is configured to work with a graphical user interface (“GUI”) including, in some embodiments, one or more AI-engine modules and a visual debugging module of the GUI. A learner AI-engine module is configured to train one or more AI models on one or more concepts of a mental model defined in a pedagogical programming language. An instructor AI-engine module is configured to coordinate with one or more simulators for respectively training the one or more AI models on the mental model. The visual debugging module is configured to provide a visualization window for each AI model while the one or more AI models are at least training with the learner module respectively in the one or more simulators. A viewer can glean insight and explainability into the training of the AI models while the simulations are running and arriving at various states.

Installation And Operation Of Different Processes Of An An Engine Adapted To Different Configurations Of Hardware Located On-Premises And In Hybrid Environments

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US Patent:
20180307945, Oct 25, 2018
Filed:
Jun 14, 2018
Appl. No.:
16/008751
Inventors:
- Berkeley CA, US
Chetan DESH - Bellevue WA, US
Jett JONES - Seattle WA, US
Shane ARNEY - RICHMOND CA, US
International Classification:
G06K 9/62
G06F 9/50
Abstract:
An artificial intelligence (“AI”) engine having multiple independent processes on one or more computing platforms is disclosed, where the one or more computing platforms are located on premises of an organization such that i) the one or more computing platforms are configurable for one or more users in the organization having at least administrative rights on the one or more computing platforms in order to configure hardware components thereof to execute and load the multiple independent processes of the AI engine; ii) the one or more users of the organization are able to physically access the one or more computing platforms; and iii) the hardware components of the one or more computing platforms are connected to each other through a Local Area Network (LAN), and the LAN is configurable such that the one or more users in the organization have a right to control an operation of the LAN.

Artificial Intelligence Engine Having Multiple Independent Processes On A Cloud Based Platform Configured To Scale

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US Patent:
20170213156, Jul 27, 2017
Filed:
Jan 26, 2017
Appl. No.:
15/417086
Inventors:
- Berkeley CA, US
Keen McEwan Browne - Berkeley CA, US
Shane Arney - Richmond CA, US
Matthew E. Haigh - Seattle WA, US
Jett Evan Jones - Seattle WA, US
Matthew James Brown - San Francisco CA, US
Ruofan Kong - Berkeley CA, US
Chetan Desh - Bellevue WA, US
International Classification:
G06N 99/00
G06N 3/08
Abstract:
The multiple independent processes run in an AI engine on its cloud-based platform. The multiple independent processes are configured as an independent process wrapped in its own container so that multiple instances of the same processes can run simultaneously to scale to handle one or more users to perform actions. The actions to solve AI problems can include 1) running multiple training sessions on two or more AI models at the same time, 2) creating two or more AI models at the same time, 3) running a training session on one or more AI models while creating one or more AI models at the same time, 4) deploying and using two or more trained AI models to do predictions on data from one or more data sources, 5) etc. A service handles scaling by dynamically calling in additional computing devices to load on and run additional instances of one or more of the independent processes as needed.
Shane R Arney from Annandale, NJ, age ~43 Get Report