Ibrahim Ali

Head of Engineering at Metastaq
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Pakistan, PK

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • Singapore
    • Software Development
    • 1 - 100 Employee
    • Head of Engineering
      • 2022 - Present

      Metastaq enables brands and creators with bespoke utility-based Web3.0 experiences. Plug-and-play SaaS solution is available now! Our newly formed Metastaq Studio is an AI-based AdTech offshoot for fast content generation for SMBs. Metastaq enables brands and creators with bespoke utility-based Web3.0 experiences. Plug-and-play SaaS solution is available now! Our newly formed Metastaq Studio is an AI-based AdTech offshoot for fast content generation for SMBs.

    • Poland
    • Appliances, Electrical, and Electronics Manufacturing
    • 1 - 100 Employee
      • Jan 2020 - May 2021

      Managed a 15 person A.I team and was responsible for end-to-end delivery from requirement gathering to model training, and delivery/MLOps. Interfaced directly with and delivered to many large brands including Staples, McDonalds, WeWork, and Emaar.

      • Dec 2018 - Jan 2020

      Designed deep learning algorithms for AR point-cloud based segmentation, object detection, text detection (OCR), and a recommendation engine. Was awarded top employee for the year in which VisionX also won 7th place in FAST’s list of most innovative companies.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Data Scientist
      • Jun 2017 - Dec 2018

      Built a Deep Learning solution to recommend medications based on EHR data (disease codes, procedures performed, patent demographics) for faster charting. Worked on regression models for insurance-claim payment against medical procedure codes (CPTs) to enable CareCloud to pre-pay providers upfront, a first-to-market offering in the space. Built a Deep Learning solution to recommend medications based on EHR data (disease codes, procedures performed, patent demographics) for faster charting. Worked on regression models for insurance-claim payment against medical procedure codes (CPTs) to enable CareCloud to pre-pay providers upfront, a first-to-market offering in the space.

Education

  • National University of Sciences and Technology (NUST)
    Masters, Computer Science
  • National University of Computer and Emerging Sciences
    Bachelors, Computer Science

Community

You need to have a working account to view this content. Click here to join now