Muhammad Bilal

AI Architect, Deep Learning, Reinforcement Learning, Generative AI, Computer Vision, Self-Supervised Learning, Machine Learning

  • About Me
  • Experience
  • Education
  • Certifications
  • Projects
  • Skills
  • Publications
  • Contact
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    Workshop on Technology Assisted Efficient Pavement Maintenance and Assets Management System for KP Road Network

    C&W HIGHWAY DIVISION-1, PESHAWAR, GOVERNMENT OF KHYBER PAKHTUNKHWA, PAKISTAN

    About Me

    Hi I'm Muhammad Bilal

    As an AI research and development professional with years of experience, I have had the privilege of working on a variety of projects, including serving as the project lead for a multi-million-dollar initiative. Throughout my career, I have learned the importance of collaboration, and I am grateful for the opportunity to have worked closely with talented individuals to deliver impactful results.

    My deep passion for AI and commitment to lifelong learning have allowed me to stay at the forefront of advancements in the field. I am constantly seeking out new knowledge and exploring new possibilities to drive further innovation.

    While I recognize that there is always more to learn and achieve, I am confident in my ability to drive meaningful progress in the field of AI. Whether working independently or as part of a team, I am committed to achieving excellence and delivering results that make a positive impact.

    I am truly excited to continue exploring the possibilities of AI and contributing to the industry through innovative research and development.

    Research Interests
    Deep Learning
    Reinforcement Learning
    Generative AI
    Computer Vision
    Download CV

    Experience

     
     
     
     
     

    DataPoint Pvt. Ltd.

    June 2020 — Present
    • Senior AI Architect (Team Lead)
      Aug 2022 — Present
    • Senior Machine Learning Engineer
      Feb 2020 — July 2022
     
     
     
     
     

    Machine Learning Engineer

    Infinity Innovations Inc.
    Jan 2018 — May 2020


     
     
     
     
     

    Founder | Chief Scientist

    Bilal Labs.
    Oct 2017 — Present


    Education

     
     
     
     
     

    Master of Science in Computer Science — MS (CS)

    COMSATS University Islamabad, Attock Campus, Pakistan
    CGPA: 3.42 / 4.0
    Sept 2018 — Jan 2021

     
     
     
     
     

    Bachelor of Science in Software Engineering — BS (SE)

    COMSATS University Islamabad (Formerly CIIT), Attock Campus, Pakistan
    CGPA: 2.95 / 4.0
    Jan 2014 — Jan 2018

    Certifications

     
     
     
     
     

    Deep Learning Specialization

    Coursera — DeepLearning.AI
    June 2023

     
     
     
     
     

    Generative Adversarial Networks (GANs) Specialization

    Coursera — DeepLearning.AI
    June 2023

     
     
     
     
     

    Mathematics for Machine Learning and Data Science Specialization

    Coursera — DeepLearning.AI
    June 2023

     
     
     
     
     

    Machine Learning Engineering for Production (MLOps) Specialization

    Coursera — DeepLearning.AI
    June 2023

     
     
     
     
     

    Practical Data Science on the AWS Cloud (PDS) Specialization

    Coursera — DeepLearning.AI
    June 2023

    Projects

     
     
     
     
     
    Airloop
    DataPoint Pvt. Ltd.
    AirLoop offers the world's largest road dataset, enabling accurate identification and mapping of road cracks, providing clients with geographically mapped pavement condition data and additional features to make informed decisions, prolong road lifespan, prevent costly rebuilds, and facilitate smart development and revenue planning through their innovative technology platform.
    June 2020 — Present

     
     
     
     
     
    TollSense
    Bilal Labs
    Automatic Toll Tax Calculation with Vehicle Type and License Plate Recognition System using Deep Learning
    2020

     
     
     
     
     
    MetriX
    Bilal Labs
    Automatic Electric Meter Reading System using Deep Learning
    2019

     
     
     
     
     
    Algorithms Encyclopedia
    Android and iOS App
    A mobile application for android and iOS platforms that serves as an encyclopedia of algorithms. These apps provide the details of data structure algorithms, their time complexities, pseudocode, java code with examples, and also provides searching and bookmark capabilities. The android app was developed using Android Studio and Java programming. The iOS app was developed in XCode IDE and Swift programming language.
    2018

    More on GitHub

    Skills

    Python

    90

    C++

    70

    Swift

    40

    Pycharm

    80

    Jupyter Lab

    80

    Google Colab

    80

    VS Code

    90

    XCode (iOS Development)

    50

    Tensorflow

    80

    Pytorch

    30

    OpenCV

    60

    SciKit-Learn

    50

    NumPy

    90

    Pandas

    90

    Matplotlib

    90

    NEXT.JS

    80

    React.JS

    30

    TypeScript

    60

    JavaScript

    50

    Tailwind CSS

    90

    Bootstrap

    90

    SQL

    90

    MongoDB

    90

    Material UI

    90

    Django

    90

    Git & GitHub

    70

    Docker

    60

    Linux System Administration

    50

    Publications

     
     
     
     
     
    A Transfer Learning-Based Efficient Spatiotemporal Human Action Recognition Framework for Long and Overlapping Action Classes
    Muhammad Bilal, Muazzam Maqsood, Sadaf Yasmin, Najam Ul Hasan & Seungmin Rho
    Springer Nature: The Journal of Supercomputing , vol. 78, issue: 2, pp. 2873-2908
    Feb 2022

     
     
     
     
     
    An Activity Recognition Framework for Overlapping Activities using Transfer Learning
    Muhammad Bilal, Muazzam Maqsood, Irfan Mehmood, Mubashir Javaid & Seungmin Rho
    IEEE Computer Society: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 701-705.
    Dec 2020

    Volunteering

     
     
     
     
     
    PEER REVIEW
    Peer-reviewer for:

    Journal:       The Journal of Supercomputing
    Publisher:   Springer Nature

    ORCiD    
    2022

    References

     
     
     
     
     
    Dr. Muazzam Maqsood
    Assistant Professor
    Department of Computer Science
    COMSATS University Islamabad, Attock Campus, Pakistan

    Email:
    muazzam.maqsood @cuiatk.edu.pk

    • MS Thesis Supervisor

    • BS Final Year Project Supervisor

     
     
     
     
     
    Dr. Muhammad Tahir
    Assistant Professor
    Department of Computer Science
    COMSATS University Islamabad, Attock Campus, Pakistan

    Email: m_tahir@ciit-attock.edu.pk

    Languages

     
     
     
     
     
    Native Speaker
    Urdu
     
     
     
     
     
    Mother Tongue
    Punjabi
     
     
     
     
     
    Proficient
    English

    My GitHub

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    Contact


    Sher-e-Punjab Colony, Teen-Meela Chowk, Attock City, Punjab, Pakistan