- Currently working on projects in computer vision, deep learning, VLM, and multi-agent robotics simulation.
- 🎓 B.Sc. in Electrical and Computer Engineering
- How to reach me: shirbenami1@gmail.com
- Languages: Python, C#
- AI & Machine Learning: Deep Learning, CNN, SSL (Self-Supervised Learning), LLM and VLM
- Tools & Platforms: Git, DeepStream, ROS, Gazebo, SLAM
- Fields of Interest: Computer Vision, Machine Learning, Autonomous Systems, Robotics
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ROS1 Gazebo Hector Multi-Drone Simulation — Developed a simulation for multiple Hector Quadrotor drones in Gazebo with ROS. Includes integration with ORB-SLAM3/COVINS for collaborative SLAM, plus real-time visual inter-drone detection (color detection and template matching) and azimuth sharing.
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SSL ResNet Feature Extractor – Built and trained a ResNet50 model using self-supervised learning to improve feature extraction.
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SSL YOLO SimCLR – This project explores the integration of YOLOv8 with SimCLR for self-supervised representation learning, followed by fine-tuning on a labeled dataset.
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DeepStream-YOLO – Implemented object detection on yolo model vehicles with deepstream pipeline.
- LinkedIn: linkedin.com/in/shirbenami
- GitHub: github.com/shirbenami