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Rahul R Parundekar

age ~39

from San Francisco, CA

Also known as:
  • Rahul Ravi R

Rahul Parundekar Phones & Addresses

  • San Francisco, CA
  • Sunnyvale, CA
  • Los Angeles, CA

Work

  • Company:
    Appen
    Jan 2020
  • Position:
    Senior manager, data science

Education

  • School / High School:
    Udacity
    2017 to 2017

Skills

Artificial Intelligence • Semantic Web • Java • Owl • Rdf • Machine Learning • Research • Computer Science • Algorithms • Knowledge Representation • Linked Data • Python • Pattern Recognition • System Design • Programming • Data Analysis • Product Development • Product Management • Project Management • Computer Vision • Web Development • Entrepreneurship • Node.js • Aws Lambda • Keras • Bootstrap • Html5 • Leadership • Deep Learning • Lean Startup • Conversational Ai • Ontologies • Rdfs • Data Science • Project+ • Artificial Neural Networks • Neural Networks • Nlp • Start Ups • Management • Team Leadership • Javascript

Ranks

  • Certificate:
    Entrepreneurship: Launching An Innovative Business Specialization

Interests

B2B • Automotive

Industries

Information Technology And Services

Us Patents

  • Place Affinity Estimation

    view source
  • US Patent:
    20130151148, Jun 13, 2013
  • Filed:
    Mar 30, 2012
  • Appl. No.:
    13/436570
  • Inventors:
    Rahul Ravi Parundekar - Sunnyvale CA, US
    Kentaro Oguchi - Menlo Park CA, US
    Shojiro Takeuchi - Toyota-shi, JP
  • Assignee:
    TOYOTA INFOTECHNOLOGY CENTER CO., LTD. - Tokyo
    TOYOTA JIDOSHA KABUSHIKI KAISHA - Toyota-shi
  • International Classification:
    G01C 21/00
    G06F 17/30
  • US Classification:
    701521, 707748, 707722, 707E17009, 707E17014
  • Abstract:
    A system and method for estimating a place affinity for a user is disclosed. The system comprises a gathering module, a communication module and a scoring module. The gathering module receives a place and retrieves rich place data associated with the place. The communication module retrieves user profile data associated with a user and a place affinity model associated with the user. The scoring module estimates an affinity score for the place using the place affinity model based at least in part on the rich place data and the user profile data.
  • Generating Real-Time Driver Familiarity Index For Fine-Grained Dynamic Road Scenes

    view source
  • US Patent:
    20170286782, Oct 5, 2017
  • Filed:
    Mar 31, 2016
  • Appl. No.:
    15/087726
  • Inventors:
    - Toyota-shi, JP
    Rahul Ravi Parundekar - Sunnyvale CA, US
    Kentaro Oguchi - Menlo Park CA, US
  • International Classification:
    G06K 9/00
    B60W 50/14
    B60W 40/08
    G06K 9/62
    G01C 21/36
  • Abstract:
    In an example embodiment, a computer-implemented method is disclosed that generates a spectral signature describing one or more dynamic objects and a scene layout of a current road scene; identifies, from among one or more scene clusters included in a familiarity graph associated with a user, a road scene cluster corresponding to the current road scene; determine a position of the spectral signature relative to other spectral signatures comprising the identified road scene cluster; and generates a familiarity index estimating familiarity of the user with the current road scene based on the position of the spectral signature. The method can further include determining an assistance level based on the familiarity index of the user; and providing one or more of an auditory instruction, a visual instruction, and a tactile instruction to the user via one or more output devices of a vehicle at the determined assistance level.
  • Understanding Road Scene Situation And Semantic Representation Of Road Scene Situation For Reliable Sharing

    view source
  • US Patent:
    20170278402, Sep 28, 2017
  • Filed:
    Mar 25, 2016
  • Appl. No.:
    15/081756
  • Inventors:
    - Toyota-shi, JP
    Rahul Ravi Parundekar - Sunnyvale CA, US
    Preeti J. Pillai - Sunnyvale CA, US
    Kentaro Oguchi - Menlo Park CA, US
  • International Classification:
    G08G 1/16
    G01C 21/36
    G08G 1/0967
    G06K 9/00
    G01C 21/34
  • Abstract:
    In an example embodiment, a computer-implemented method is disclosed that receives road scene data and vehicle operation data from one or more sensors associated with a first vehicle on a road segment; receives situation ontology data; automatically generates a semantic road scene description of the road segment using the road scene data, the vehicle operation data, and the situation ontology data; and transmits, via a communication network, the semantic road scene description to one or more other vehicles associated with the road segment. Automatically generating the semantic road scene description of the road segment can include determining lane-level activity information for each lane based on lane information and dynamic road object information and determining a lane-level spatial layout for each lane based on the lane information and the dynamic road object information.
  • Proactive Autocomplete Of A User's In-Vehicle Operations

    view source
  • US Patent:
    20160280220, Sep 29, 2016
  • Filed:
    Mar 23, 2015
  • Appl. No.:
    14/665685
  • Inventors:
    - Toyota-shi, JP
    Rahul Parundekar - Sunnyvale CA, US
  • International Classification:
    B60W 30/00
    B60W 40/08
  • Abstract:
    The disclosure includes a method for autocompleting an in-vehicle operation that includes monitoring sensors for sensor data. The method includes determining an occurrence of an initial vehicle operation performed by a user based on the sensor data. The method includes determining a vehicle task from a digitally stored dataset based on the initial vehicle operation. The method includes determining a next vehicle operation to autocomplete based on the vehicle task. The method includes autocompleting the next vehicle operation. The method includes determining whether the vehicle task is complete.
  • System Provisioning Wireless Application Services In Sparsely Connected Wireless Environments

    view source
  • US Patent:
    20160021190, Jan 21, 2016
  • Filed:
    Jul 16, 2014
  • Appl. No.:
    14/332950
  • Inventors:
    - Toyota-shi, JP
    John Mark AGOSTA - Mountain View CA, US
    Rahul PARUNDEKAR - Sunnyvale CA, US
    Daisuke HIROKI - Toyota-shi, JP
  • International Classification:
    H04L 29/08
  • Abstract:
    The disclosure includes a system and method for provisioning wireless application services in sparsely connected wireless environments. The system includes a processor and a memory storing instructions that, when executed, cause the system to: estimate journey requirements; generate a current connectivity map based on driving-related data; generate a current connectivity map based on driving-related data; e; estimate services for a current journey; and generate a prioritized list of services and at least one expiration time for one of the services.
  • Configuring Dynamic Custom Vocabulary For Personalized Speech Recognition

    view source
  • US Patent:
    20150106096, Apr 16, 2015
  • Filed:
    Oct 15, 2013
  • Appl. No.:
    14/054763
  • Inventors:
    - Toyota-shi, JP
    Vinuth Rai - San Jose CA, US
    Rahul Parundekar - Sunnyvale CA, US
  • Assignee:
    TOYOTA JIDOSHA KABUSHIKI KAISHA - Toyota-shi
  • International Classification:
    G10L 15/07
  • US Classification:
    704244
  • Abstract:
    The disclosure includes a system and method for configuring custom vocabularies for personalized speech recognition. The system includes a processor and a memory storing instructions that when executed cause the system to: detect a provisioning trigger event; determine a state of a journey associated with a user based on the provisioning trigger event; determine one or more interest places based on the state of the journey; populate a place vocabulary associated with the user using the one or more interest places; filter the place vocabulary based on one or more place filtering parameters; and register the filtered place vocabulary for the user.
  • Generating Dynamic Vocabulary For Personalized Speech Recognition

    view source
  • US Patent:
    20150100240, Apr 9, 2015
  • Filed:
    Oct 8, 2013
  • Appl. No.:
    14/049151
  • Inventors:
    - Toyota-shi, JP
    Vinuth Rai - San Jose CA, US
    Rahul Parundekar - Sunnyvale CA, US
  • Assignee:
    TOYOTA JIDOSHA KABUSHIKI KAISHA - Toyota-shi
  • International Classification:
    G01C 21/36
    G10L 21/06
  • US Classification:
    701539, 7042701
  • Abstract:
    The disclosure includes technology for generating custom vocabularies for personalized speech recognition. The technology includes an example system including a processor and a memory storing instructions that when executed cause the system to: detect a provisioning trigger event; determine a state of a journey associated with a user based on the provisioning trigger event; determine one or more interest places based on the state of the journey; populate a place vocabulary associated with the user using the one or more interest places; and register the place vocabulary for the user.

Resumes

Rahul Parundekar Photo 1

Senior Manager, Data Science

view source
Location:
601 Lexington Ave, New York, NY 10022
Industry:
Information Technology And Services
Work:
Appen
Senior Manager, Data Science

Figure Eight
Senior Machine Learning Engineer

Elevate.do
Founder

Toyota Itc Apr 2014 - Jun 2017
Senior Researcher

Toyota Itc Jul 2010 - Mar 2014
Researcher
Education:
Udacity 2017 - 2017
Udacity 2016 - 2017
University of Southern California 2008 - 2010
Master of Science, Masters, Computer Science
Department of Technology, Savitribai Phule Pune University 2003 - 2007
Bachelor of Engineering, Bachelors, Computer Engineering
University of Southern California;Ms;2008 – 2010;
Master of Science, Masters
Skills:
Artificial Intelligence
Semantic Web
Java
Owl
Rdf
Machine Learning
Research
Computer Science
Algorithms
Knowledge Representation
Linked Data
Python
Pattern Recognition
System Design
Programming
Data Analysis
Product Development
Product Management
Project Management
Computer Vision
Web Development
Entrepreneurship
Node.js
Aws Lambda
Keras
Bootstrap
Html5
Leadership
Deep Learning
Lean Startup
Conversational Ai
Ontologies
Rdfs
Data Science
Project+
Artificial Neural Networks
Neural Networks
Nlp
Start Ups
Management
Team Leadership
Javascript
Interests:
B2B
Automotive
Certifications:
Entrepreneurship: Launching An Innovative Business Specialization
Introduction To Project Management Principles and Practices Specialization
Project Management Professional (Pmp)??
Deep Learning Specialization
Project Management Professional (Pmp)®
License Wnvyaybghlw9
License G9Fxwftfajxw
License 1916100
Coursera Course Certificates, License Wnvyaybghlw9
Coursera Course Certificates, License G9Fxwftfajxw
Project Management Institute, License 1916100

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