Ali Jawad Naqvi

Annotation Team Lead at DARVIS
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Location
Pakistan, PK

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Experience

    • Netherlands
    • Business Consulting and Services
    • 1 - 100 Employee
    • Annotation Team Lead
      • Feb 2022 - Present

      • Develop and implement scripts to automate annotation pipeline processes. • Train and improve detection and classifier models to enhance dataset results. • Manage a team of 10 individuals to ensure timely and quality datasets delivery. • Develop and implement scripts to automate annotation pipeline processes. • Train and improve detection and classifier models to enhance dataset results. • Manage a team of 10 individuals to ensure timely and quality datasets delivery.

    • United States
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Quality Assurance Automation Engineer
      • Sep 2020 - Jan 2022

      • Conducted manual and automated testing of software using Gherkin scripts. • Diagnosed and fixed automation tests running on AWS. • Initiated VMs for testing using Jenkins. • Conducted manual and automated testing of software using Gherkin scripts. • Diagnosed and fixed automation tests running on AWS. • Initiated VMs for testing using Jenkins.

    • Pakistan
    • Software Development
    • 1 - 100 Employee
    • Data Engineer
      • May 2020 - Sep 2020

      • Annotated images for segmentation using a custom annotation tool on AWS. • Led the mapping of a construction site using an in-house technology deployed on AWS, providing users with a realistic navigation experience through the house. • Ensured data quality by conducting thorough assessments and validations. • Compiled and organized the collected data effectively. • Annotated images for segmentation using a custom annotation tool on AWS. • Led the mapping of a construction site using an in-house technology deployed on AWS, providing users with a realistic navigation experience through the house. • Ensured data quality by conducting thorough assessments and validations. • Compiled and organized the collected data effectively.

    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Mar 2020 - Sep 2020

      • Developed an automated highlight generation system for college basketball matches. • Collaborated on the development using Sound Net and Neural Style Transfer. • Developed an automated highlight generation system for college basketball matches. • Collaborated on the development using Sound Net and Neural Style Transfer.

Education

  • Air University
    Bachelor's degree, Computer Science
    2014 - 2018

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