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Muhammad Danish A. AI, Machine Learning and Computer Vision Platforms

My name is Muhammad Danish A. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Artificial Intelligence, Deep Learning, Research & Development, MLOps, etc.. I hold a degree in Master of Engineering (MEng), Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: AI-Assisted Data Annotation Platform (SaaS), Advanced Computer Vision & Deep Learning Systems, AI-Powered Autonomous Agricultural Robot (UGV), Object detection with satellite Imagery, AI-POWERED BUSINESS MATCHMAKING PLATFORM, etc.. I am based in Islamabad, Pakistan. I've successfully completed 10 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • AI, Machine Learning and Computer Vision Platforms

    5 years

  • Machine Learning

    3 Years

  • Artificial Intelligence

    3 Years

  • Deep Learning

    4 Years

Additional skills

  • Machine Learning
  • Artificial Intelligence
  • Deep Learning
  • Research & Development
  • MLOps
  • DevOps
  • Computer Vision
  • Lidar
  • Satellite Image
  • Object Detection & Tracking
  • Data Annotation
  • Python
  • Docker
  • OpenCV
  • TensorFlow
  • Robotics
  • Unix Shell
  • Robot Operating System
  • Electrical Engineering

Direct hire

Potentially possible

Previous Company

MiniByte

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Experience Highlights

AI-Assisted Data Annotation Platform (SaaS)

Architected "Anna," a multi-modal data annotation platform designed to accelerate AI model training. Built on a Django/React/MongoDB stack, the system supports diverse data types (image, text, audio,

Advanced Computer Vision & Deep Learning Systems

Architected and deployed high-performance computer vision solutions across diverse industries. My portfolio includes LiDARView (real-time 3D mapping using ROS & PCL), Trackzella (sports analytics util

AI-Powered Autonomous Agricultural Robot (UGV)

Engineered the system architecture for a fully autonomous physical robot designed for precision farming. The unit integrates a rugged 4WD chassis with a 6-DOF robotic arm and a high-torque auger syste

Object detection with satellite Imagery

1: The project's objectives likely include accurate and efficient object detection in aerial or satellite imagery, integration of remote sensing technologies for enhanced detection, and facilitation o

AI-POWERED BUSINESS MATCHMAKING PLATFORM

To solve the massive inefficiency in sales qualification, I built the intelligent backend for this business platform. The system automates lead research and scoring using a custom multi-agent LLM pi

Education

  • National University of Sciences and Technology

    Master of Engineering (MEng) in Robotics and Intelligent Machines Engineering

    2020-01-01-2022-01-01

  • National University of Sciences and Technology

    Bachelor of Engineering (BEng) in Electrical engineering

    2014-01-01-2018-01-01

Languages

  • English (Fluent)