Conducted research on **Computer Vision for small object detection in remote sensing** using advanced deep learning techniques.
Developed and optimized **FFCA-YOLO (Feature Fusion and Channel Attention YOLO)** model for improved detection accuracy of small objects in satellite imagery.
Implemented deep learning models using **PyTorch and CUDA** for real-time inference and performance optimization.
Worked on cutting-edge research in **remote sensing applications** with focus on agricultural monitoring and environmental analysis.
Collaborated with research team on **computer vision algorithms** and contributed to ongoing research publications.
Gained hands-on experience with **GPU acceleration** and optimization techniques for deep learning models.
