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I’m skilled in deep learning and AI with hands-on experience in YOLOv9, HRNet, MobileFaceNet, and MTCNN for face detection. I’ve worked on image preprocessing, emotion detection using GSR data, and deployed models using ONNX and TensorRT. My stack includes PyTorch, TensorFlow, Docker, CUDA, cuDNN, and RAPIDS, running on an NVIDIA RTX 4060 Ti. I also build AI-powered web apps using Flask, MongoDB, HTML/CSS, and design with Figma. Academically, I’ve published with Springer and actively work on projects in precision agriculture and face-based attendance systems.