Kumar Abhinav

MACHINE LEARNING

  • 464 Views

$20.00

(per hour)

Featured Services

Description

  • Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Artificial Intelligence, Crowdsourcing, Learning and Development, Recommendation System
  • Patents
  • IE system for service manual and risk analysis Patent Office: USA and India
  • AI Assisted Apparel Design Patent Office: USA and India
  • Framework for Apprenticeship Learning Patent Office: USA and India
  • Interactive Assistant for Field Engineer with Digital Twin Integration Patent Office: USA and India
  • System and method for Interactive Troubleshooting Patent Office: USA and India
  • Human/Artificial Intelligence Collaboration System Patent Office: USA and India
  • Knowledge Graph Based Learning Content Generation Patent Office: USA and India
  • Call Center System Having Reduced Communication Latency Patent Office: USA and India
  • Intelligent Crowdsourced Resource Assistant Patent Office: USA and India
  • System and methods for assessing privacy and confidentiality risks and sanitizing sensitive task information Patent Office: USA and India
  • System and method for evaluating and hiring workers for project tasks Patent Office: USA and India

Experience

Software Engineer

  • IT COMPANY
  • August 1, 2018 - continue

A3D(AI Assisted Apparel Design) is an AI assisted design generation tornsupport faster design process of fashion accessories, reduced productsrnshelf-life, increased sales, and better customer experience. Designersrnare presented with new look garments/fashion apparels created byrnconsidering the color, style, patterns of high selling and high marginrnapparels. This helps designer to broaden their prospective, visualizernnew designs and be more creative.rnIn this work, we propose an interactive troubleshooting assistant thatrnmodels a troubleshooting problem as a sequence-to-sequence predicu0002tion problem. The proposed model can process multimodal inputs andrnproduce corrective actions for troubleshooting. It adapts itself to newrninput after each action is performed to provide next recommendation.rnWe also propose an information extraction system that helps the worku0002ers in provide knowledge about the machine configurations, operatingrnconditions or working of any of the machine parts during the processrnof troubleshooting.

Software Engineer

  • IT COMPANY
  • July 1, 2018 - November 1, 2018

In this work, we propose an interactive troubleshooting assistant thatrnmodels a troubleshooting problem as a sequence-to-sequence predicu0002tion problem. The proposed model can process multimodal inputs andrnproduce corrective actions for troubleshooting. It adapts itself to newrninput after each action is performed to provide next recommendation.rnWe also propose an information extraction system that helps the worku0002ers in provide knowledge about the machine configurations, operatingrnconditions or working of any of the machine parts during the processrnof troubleshooting

Educational Details

M.Tech

  • Indraprastha Institute of Information Technology (IIIT), Delhi
  • August 1, 2013 - August 1, 2015

M.Tech (Masters) in Computer Science (Specialization: Mobile Computing)rnIndraprastha Institute of Information Technology (IIIT), DelhirnGpa: 8.25/10

B.Tech

  • Dehradun Institute of Technology, Dehradun
  • August 1, 2006 - August 1, 2010

B.Tech in Electronics and CommunicationrnDehradun Institute of Technology, DehradunrnScore: 76.06%

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