Muhammad Shifa

Data Scientist at Machine Learning 1 Limited
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Contact Information
us****@****om
(386) 825-5501
Location
Lahore District, Pendjab, Pakistan, PK
Languages
  • English Compétence professionnelle
  • Urdu Capacité professionnelle complète
  • Pashto Capacité professionnelle complète

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5.0

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Muhammad Moin

I feel honoured to write a review for Mr. Muhammad Shifa. I had the opportunity to work with him at SlimLogix, I found him very passionate towards his task. He possesses exceptional R&D skills and also has the ability to lead the team, he has a good grasp in Computer Vision, Machine Learning and technical writing. He has worked on both product side and projects as well. He strictly meet the deadlines and quite flexible in working late hours as well. Under his supervision the company was able to complete and launch their first product. I strongly believe he is an asset of any company he works and I wish all the best for the future endeavors.

Usama Imdad

Shifa and I worked together on several projects, and I was lucky to call him my coworker. He consistently gave 100 percent effort to the team and played a significant role in ensuring that we completed assignments on time. He had excellent time management skills and a knack for keeping everyone calm and productive during intense crunch periods. Any team would be lucky to have Shifa, and I couldn’t recommend him more for any business looking for new talent.

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Experience

    • Pakistan
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • janv. 2023 - - aujourd’hui

    • Pakistan
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Machine Learning Engineer
      • avr. 2021 - déc. 2022

      - worked on a Face Recognition based System with automated training and testing- Redis, Hetzner, Proxmox, Machine learning, Deep Leanring, Python, Docker- Video Analysis; Anomaly Detection (Abnormal Human Activity Recognition) on Video Analysis for multiple classes with I3DCNN, also for binary classes. - Streaming server for camera to access one camera in multiple model without any delay. - Worked on multiple models with with single camera and vice versa.- Worked on custom object detection model training and real time deployment.- developed Flask based API for real time camera streaming on Web browser.- multiple projects for client including deployment on Raspberry pi.

    • Pakistan
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • avr. 2021 - déc. 2022

    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Machine Learning Engineer Intern (Remote)
      • janv. 2021 - mars 2021

      - worked on Anomaly Detection for healthcare insurance- Distributed Computing on multiple GPU- Horovod with keras for training on multiple GPU - worked on Anomaly Detection for healthcare insurance- Distributed Computing on multiple GPU- Horovod with keras for training on multiple GPU

    • Pakistan
    • Software Development
    • 1 - 100 Employee
    • ML Engineer and Android Developer
      • mars 2020 - janv. 2021

      • Gained different type of skills• Enhanced my coding and research skills• Worked and Research on different AI and android Project• Android Application Development • Gained different type of skills• Enhanced my coding and research skills• Worked and Research on different AI and android Project• Android Application Development

    • AI Researcher and Python Programmer
      • mars 2019 - mars 2020

      Conducting Research• Writing Research Contents• Worked on Brain Control Intelligent Prosthetic Bionic Leg For Above Knee Amputee• Data Acquisition of Biomedical Sensor (EMG Sensor) and IMU Sensor• Applied Different Filtering Technique of Noisy Digital Signals.(DSP)• implemented Different Deep Learning Technique with Python.• Experienced on EMG Sensors (Biomedical Sensor) Data and Hardware components like Arduino and Motors (Servo and Stepper) Conducting Research• Writing Research Contents• Worked on Brain Control Intelligent Prosthetic Bionic Leg For Above Knee Amputee• Data Acquisition of Biomedical Sensor (EMG Sensor) and IMU Sensor• Applied Different Filtering Technique of Noisy Digital Signals.(DSP)• implemented Different Deep Learning Technique with Python.• Experienced on EMG Sensors (Biomedical Sensor) Data and Hardware components like Arduino and Motors (Servo and Stepper)

Education

  • University of Peshawar
    BS, Computer Science
    2015 - 2019

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