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Boris S Aronchik

age ~51

from Brighton, MA

Also known as:
  • Boris S Aronchak
  • Brois Aronchik
Phone and address:
49 Undine Rd, Boston, MA 02135
(617)7827469

Boris Aronchik Phones & Addresses

  • 49 Undine Rd, Brighton, MA 02135 • (617)7827469
  • 178 Lake Shore Rd #1, Brighton, MA 02135 • (617)7827469
  • 178 Lake Shore Rd, Brighton, MA 02135
  • Boston, MA
  • 35 Davis Sq, Somerville, MA 02144
  • Brooklyn, NY
  • Minnetonka, MN

Work

  • Company:
    Amazon
    Mar 2017
  • Position:
    Senior manager, technical program mgmt alexa ai - ml platform and services

Education

  • Degree:
    Master of Business Administration, Masters
  • School / High School:
    Babson College
    2006 to 2008
  • Specialities:
    Entrepreneurship

Skills

Integration • Software Development • Eda • Product Management • Semiconductors • Enterprise Software • Perl • Start Ups • Product Development • Management • Project Management • Leadership • Unix • Software Engineering • Linux • Data Analysis • Business Intelligence • Robotics • Mysql • Sql • Product Marketing • Business Development • C++ • C • Business Analysis • Data Modeling • Financial Analysis • Statistics • Python • R • Etl

Industries

Computer Software

Resumes

Boris Aronchik Photo 1

Senior Manager, Technical Program Mgmt Alexa Ai - Ml Platform And Services

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Location:
Brighton, MA
Industry:
Computer Software
Work:
Amazon
Senior Manager, Technical Program Mgmt Alexa Ai - Ml Platform and Services

Amazon Robotics Dec 2014 - Feb 2017
Senior Technician Program Manager

Amazon Robotics Oct 2012 - Nov 2014
Solutions Analytics Manager

Amazon Robotics Jan 2011 - Oct 2012
Solutions Designer

Synopsys 2005 - Nov 2010
Staff Cae
Education:
Babson College 2006 - 2008
Master of Business Administration, Masters, Entrepreneurship
Northeastern University 1996 - 1998
Master of Science, Masters, Engineering
Columbia University In the City of New York 1994 - 1996
Bachelors, Bachelor of Science
Yeshiva University 1991 - 1994
Bachelors, Bachelor of Arts, Physics
Skills:
Integration
Software Development
Eda
Product Management
Semiconductors
Enterprise Software
Perl
Start Ups
Product Development
Management
Project Management
Leadership
Unix
Software Engineering
Linux
Data Analysis
Business Intelligence
Robotics
Mysql
Sql
Product Marketing
Business Development
C++
C
Business Analysis
Data Modeling
Financial Analysis
Statistics
Python
R
Etl

Us Patents

  • Robotic Grasping Of Items In Inventory System

    view source
  • US Patent:
    20170106532, Apr 20, 2017
  • Filed:
    Dec 27, 2016
  • Appl. No.:
    15/391692
  • Inventors:
    - Seattle WA, US
    Matthew David Verminski - North Andover MA, US
    Andrew Stubbs - Waltham MA, US
    Ennio Claretti - Somerville MA, US
    Boris Aronchik - Brighton MA, US
    John Gregory Longtine - Sudbury MA, US
  • International Classification:
    B25J 9/16
    G06Q 10/08
    B65G 1/10
    B25J 9/00
    B65G 1/04
  • Abstract:
    Robotic arms or manipulators can be utilized to grasp inventory items within an inventory system. Information can be obtained about constraints relative to relevant elements of a process of transferring the item from place to place. Examples of such elements may include a grasping location from which an item is to be grasped, a receiving location in which a grasped item is to be placed, or a space between the grasping location and the receiving location. The information about the constraints can be used to select from multiple possible grasping options, such as by eliminating options that conflict with the constraints or preferring options that outperform others given the constraints.
  • Generating Robotic Grasping Instructions For Inventory Items

    view source
  • US Patent:
    20170021499, Jan 26, 2017
  • Filed:
    Oct 10, 2016
  • Appl. No.:
    15/289864
  • Inventors:
    - Seattle WA, US
    Matthew David Verminski - North Andover MA, US
    Andrew Stubbs - Waltham MA, US
    Ennio Claretti - Somerville MA, US
    Boris Aronchik - Brighton MA, US
    John Gregory Longtine - Sudbury MA, US
  • International Classification:
    B25J 9/16
    B65G 1/137
  • Abstract:
    Robotic arms may be utilized to grasp inventory items within an inventory system. Information about an inventory item to be grasped can be detected and used to determine a grasping strategy in conjunction with information from a database. Instructions for grasping an inventory item can be generated based on the detected information and the database.
  • Robotic Grasping Of Items In Inventory System

    view source
  • US Patent:
    20160167227, Jun 16, 2016
  • Filed:
    Dec 16, 2014
  • Appl. No.:
    14/572332
  • Inventors:
    - Seattle WA, US
    Matthew David Verminski - North Andover MA, US
    Andrew Stubbs - Waltham MA, US
    Ennio Claretti - Somerville MA, US
    Boris Aronchik - Brighton MA, US
    John Gregory Longtine - Sudbury MA, US
  • International Classification:
    B25J 9/16
    B25J 9/00
  • Abstract:
    Robotic arms or manipulators can be utilized to grasp inventory items within an inventory system. Information about an item to be grasped can be detected and/or accessed from one or more databases to determine a grasping strategy for grasping the item with a robotic arm or manipulator. For example, one or more accessed databases can contain information about the item, characteristics of the item, and/or similar items, such as information indicating grasping strategies that have been successful or unsuccessful for such items in the past.
  • Generating Robotic Grasping Instructions For Inventory Items

    view source
  • US Patent:
    20160167228, Jun 16, 2016
  • Filed:
    Dec 16, 2014
  • Appl. No.:
    14/572420
  • Inventors:
    - Seattle WA, US
    Matthew David Verminski - North Andover MA, US
    Andrew Stubbs - Waltham MA, US
    Ennio Claretti - Somerville MA, US
    Boris Aronchik - Brighton MA, US
    John Gregory Longtine - Sudbury MA, US
  • International Classification:
    B25J 9/16
    B65G 1/137
  • Abstract:
    Robotic arms may be utilized to grasp inventory items within an inventory system. Information about an inventory item to be grasped can be detected and used to determine a grasping strategy in conjunction with information from a database. Instructions for grasping an inventory item can be generated based on the detected information and the database.

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