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Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

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hardikdava/README.md

Highly skilled and innovative Computer Vision Engineer with a strong background in developing cutting-edge solutions for image and video analytics. Experienced in leveraging deep learning, machine learning, and computer vision algorithms to tackle complex problems in various industries. Passionate about advancing the field of computer vision and driving impactful applications in areas such as medical imaging, and augmented reality.

Machine Learning Frameworks:

Pytorch | Tensorflow | ONNX | TensorflowLite | OpenCV | PCL | Open3D | Tensorrt | PyCoral | OpenVino

Computer Vision Tasks:

image classification | object detection | image segmentation | synthetic data genertion

Progrmming Languages:

Python | C++ | C (micro-controllers)

Web Developement:

Tornado | Flask | FastAPI

User Interface:

Qt | Streamlit | Gradio | HTML

Opensource contributions:

CVAT | YoloV5 | YoloV7 | YoloV8 | Supervision | Ultimate Labelling | EyeQ | EyeQ-Foundation | CVAT Plugins | Label-studio ML Backend | YoloExplorer

Edge Devices:

Upboards | EdgeTPU | Jetson | Raspberry Pi | Luxonis OAK Devices | Myriad X

Others:

DevOps | MLOps | Git | DVC

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