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Avinash Rabhadia is a seasoned Machine Learning Engineer with a strong background in developing and deploying AI-powered solutions. With over 12 years of experience, he has worked with prominent companies such as Patni Computer Systems and Prisma AI, where he has successfully implemented projects like activity recognition using LRCN, facial sentiment analysis, and object detection using YOLO v7. His expertise spans Machine Learning, Deep Learning, Hadoop, SQL, Predictive Modeling, and Natural Language Processing.

Experience

  • Adnet Global
    • Mumbai, Maharashtra, India
    • Machine Learning Engineer
      • Jul 2023 - Present
      • Mumbai, Maharashtra, India

      Project 1: Background Removal from images using segmentation maskProject 2: Image restoration using OpenCVProject 3: Face retouching in images using GANProject 4: Face detection and Recognition on celebrity datasetProject 5: Extract Video Clip for a detected objectProject 6: Video TranscriptionProject 7: Object Detection using YOLO v8

  • Prisma AI
    • Andheri East
    • Machine Learning Developer
      • Jul 2022 - Jul 2023
      • Andheri East

      Project 1 : Activity Recognition Using LRCN (Long Term Recurrent Convolutional Neural Network) (CNN + LSTM)Project 2 : Facial Sentiment AnalysisProject 3 : Calculate mAP (Mean Average Precision) for following Object Detection ModelsProject 4 : Evaluate all the models developed by Prisma AI Project 5 : Training Custom Dataset with YOLO v7 model for Object detectionProject 6 : Bike Number plate detection and character Recognition

  • Self Employed
    • Mumbai, Maharashtra
    • Manager
      • Jan 2010 - Jun 2022
      • Mumbai, Maharashtra

    • Software Engineer
      • Jul 2007 - Mar 2009

      • Gathered requirements of the work flow of all departments by conducting requirement gathering sessions.• Prepared use cases. Full life cycle Software Development (SDLC). Designed and Reviewed Business and Software Requirement Specifications. • In Depth understanding of the AS-IS and TO-BE business processes and experience in converting these requirements into technical specifications for preparing test plans. • Facilitated (UAT) with the business users. Involved in formal review meetings with project teams and developers to report, demonstrate, prioritize and suggest resolution of issues discovered during testing.

Education

  • 2005 - 2007
    Rizvi Institute Of Management Studies And Research
    Master of management studies(MMS), Systems
  • 2000 - 2004
    Vidhyavadhini college of engineering and technology
    Bachelor of Engineering - BE, Information Technology
  • D G Ruparel College
    HSC, Science

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Industry Focus. “Media Production”

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