Hi, I'm Lin Ding Shan, a high-output AI developer specializing in Edge AI and Agricultural Technology (AgTech). I translate deep learning research into real-world, low-power deployments—designing, training, optimizing, and deploying computer vision systems for greenhouse and field environments. I have hands-on experience deploying YOLO-based models on Raspberry Pi with a focus on latency, robustness, and practical usability for farmers. During my Bachelor of Data Science at UCSI, I led edge-computing projects such as Durian AI (Edge-Computing Disease Detection System) as Lead Developer, and Basil AI (Smart Farm Disease Identification) as AI Intern. I also completed a research project on multi-class plant classification, applying transfer learning, pruning, and quantization to achieve strong accuracy with reduced model size. I thrive on cross-disciplinary collaboration, field testing under variable lighting, and building scalable, field-ready edge pipelines.…Hi, I'm Lin Ding Shan, a high-output AI developer specializing in Edge AI and Agricultural Technology (AgTech). I translate deep learning research into real-world, low-power deployments—designing, training, optimizing, and deploying computer vision systems for greenhouse and field environments. I have hands-on experience deploying YOLO-based models on Raspberry Pi with a focus on latency, robustness, and practical usability for farmers. During my Bachelor of Data Science at UCSI, I led edge-computing projects such as Durian AI (Edge-Computing Disease Detection System) as Lead Developer, and Basil AI (Smart Farm Disease Identification) as AI Intern. I also completed a research project on multi-class plant classification, applying transfer learning, pruning, and quantization to achieve strong accuracy with reduced model size. I thrive on cross-disciplinary collaboration, field testing under variable lighting, and building scalable, field-ready edge pipelines.WWWW…