- Passionate AI Engineer with a strong focus on Computer Vision and Deep Learning technologies.
- Iβve contributed to building real-time industrial solutions using smart cameras and deep learning models.
- Currently developing MLDrop, a no-code platform empowering users to create machine learning models seamlessly.
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Computer Vision & Deep Learning Contributions:
- Designed and trained YOLO models from scratch to understand the underlying principles of object detection.
- Built scalable solutions leveraging autoencoders, image segmentation, and multi-scale prediction techniques.
- Presented real-time use cases at Indian Automation Expo 2024, demonstrating practical implementations for industry.
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MLDrop Project:
- Spearheading the development of a no-code ML platform to simplify model creation and deployment for non-programmers.
- Integrating plug-and-play functionalities for various CV tasks like object detection, segmentation, and classification.
MLDrop is a no-code platform that simplifies machine learning for everyone:
- Plug-and-play architecture for image classification, object detection, and segmentation.
- User-friendly interface enabling non-programmers to create AI models in just a few clicks.