- Robotics R&D Engineer in Paris working on safety-critical perception for self-driving shuttles
- 5+ years designing and deploying computer vision and deep learning systems across autonomous mobility, healthcare, and AR/VR
- Hands-on experience with edge optimization and model quantization for low-power embedded devices, from training to on-device validation
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Robotics Engineer@Navya Mobility
- Paris, France
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22:08
(UTC +01:00) - https://orcid.org/0000-0003-2213-8265
- in/sksaksena
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dji-tello-object-detection-segmentation
dji-tello-object-detection-segmentation PublicModern instance segmentation for DJI Tello drones with YOLOv8/Detectron2. Real-time performance, modular design, autonomous tracking.
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human-action-classification
human-action-classification PublicHuman action classification system with pose-based (MediaPipe) and video-based (3D CNN) models. Features 100+ architectures for real-time pose classification and temporal models pretrained on UCF-1…
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dji-tello-collision-avoidance-pydnet
dji-tello-collision-avoidance-pydnet PublicReal-time monocular depth estimation for DJI Tello drone collision avoidance. Modern TF2.x implementation with webcam support, comprehensive tests, and autonomous navigation. PyDNet-based with MiDa…
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dji-tello-target-tracking
dji-tello-target-tracking PublicModern autonomous drone tracking using YOLOv8 deep learning and PID control for DJI Tello drones with real-time object detection and multi-target tracking.
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VisDrone-dataset-python-toolkit
VisDrone-dataset-python-toolkit PublicModern PyTorch toolkit for the VisDrone aerial object detection dataset with production-ready training pipelines, real-time inference, and format converters. Features state-of-the-art models (Faste…
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