Abdul Mukit

Senior Computer Vision Engineer with 3+ years of experience in deep learning and classical computer vision. I help organizations develop perception pipelines to perform object detection, instance segmentation, 6-DoF pose estimation, data engineering and model deployments. I am currently working as a Senior Computer Vision Engineer at Mujin, a robotic warehouse automation company.  

Technical Skills and Tools:
PyTorch, OpenCV, ONNX, PCL, CVAT, Voxel-51, Datumaro, Python, C++, C#

My most recent project:

Introduced AI Vision System for Robotic Depalletization @Mujin

• Trained, optimized, and deployed an instance segmentation model, increasing the production rate by 50%. The model outperformed Mujin’s existing vision system’s mAP by 60% and detection speed by 800%.
• Collected, distilled, and annotated a large warehouse dataset of 20,000 images. CVAT, Datumaro, SAM, and Voxel51 were used to optimize data and annotations carefully.
• Developed an auto-annotation software to generate ground truth segmentation datasets with 94% mAP automatically.
• Developed point-cloud processing algorithms increasing pose estimation success rate for tilted and damaged boxes by 92%.

Check out my projects.

I love connecting with new people. You can contact me on LinkedIn!