My Services

Computer Vision Solutions

Object detection, object tracking, video analysis, and image processing for various applications.

Machine Learning Models

Development and deployment of machine learning models for predictive maintenance, anomaly detection, and other use cases.

AI-Powered Solutions

End-to-end AI solutions, including data preprocessing, model training, deployment, and monitoring, leveraging cutting-edge techniques like deep learning.

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MY Works

My Projects

Innovative computer vision and machine learning solutions:

  • Contactless biometric systems
  • Retail engagement tracking
  • Predictive maintenance models
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MY Blog

Sharing insightful articles, tutorials, and experiences on Computer Vision, Machine Learning, and AI-powered solutions.

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Daily Ideas

Sharing creative ideas, inspirations, and behind-the-scenes glimpses of my projects on Instagram.

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About Me

As a Computer Vision and Machine Learning Engineer, I specialize in developing cutting-edge algorithms and solutions for object detection, object tracking, video analysis, and predictive maintenance.

Skills

Experience

  • Computer Vision
    Expertise in object detection, object tracking, video analysis, and image processing using OpenCV, PyTorch, and TensorFlow.
  • Machine Learning
    Proficient in developing and deploying machine learning models for predictive maintenance, anomaly detection, and other use cases.
  • MLOps
    Experience in implementing CI/CD pipelines, data validation, hyperparameter tuning, and containerization for efficient model deployment and monitoring.
  • Contactless Control System
    Led a team of 3 in creating a real-time contactless palm print recognition system for biometrics, achieving an impressive 75% mAP rate.
  • EngageVision Pro
    Developed a computer vision-based solution for tracking customer engagement in retail environments, integrating with Snowflake database for data-driven decision making.
  • Predictive Maintenance
    Implemented an end-to-end machine learning project for predictive maintenance, achieving 98.8% accuracy, with automated deployment using Docker and AWS.

Contact Me

smthrbz@gmail.com