I am a third-year Computer Science undergraduate with focused research experience in Computer Vision and Machine Learning. My primary research interest is robust visual recognition under distribution shift, specifically how classical feature engineering (HOG, SIFT) and deep convolutional architectures generalize as scene complexity grows. I benchmarked six classifier families on Fashion-MNIST and CIFAR-10, performed 5-fold cross-validation with full hyperparameter search, and published findings in IEEE format. I also deployed a production Vision Transformer classification system and built an LLM knowledge-distillation pipeline to reduce dataset size by 40% while preserving label quality. I am seeking a supervised summer research placement (June–August 2026) in CV or ML to deepen expertise and contribute to ongoing group research (e.g., 3D scene understanding or self-supervised learning).…I am a third-year Computer Science undergraduate with focused research experience in Computer Vision and Machine Learning. My primary research interest is robust visual recognition under distribution shift, specifically how classical feature engineering (HOG, SIFT) and deep convolutional architectures generalize as scene complexity grows. I benchmarked six classifier families on Fashion-MNIST and CIFAR-10, performed 5-fold cross-validation with full hyperparameter search, and published findings in IEEE format. I also deployed a production Vision Transformer classification system and built an LLM knowledge-distillation pipeline to reduce dataset size by 40% while preserving label quality. I am seeking a supervised summer research placement (June–August 2026) in CV or ML to deepen expertise and contribute to ongoing group research (e.g., 3D scene understanding or self-supervised learning).WWWW…