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* 2025/05 - 2025/08: **Johnson & Johnson**, Computer Vision Team | Cambridge, MA \\
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*AI/ML Intern, Computer Vision*
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* Mentor: [Brandon Ginley](https://scholar.google.com/citations?user=UDz46zwAAAAJ&hl=en)
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* Propose a semi-supervised learning approach that leverages foundation models to improve annotation efficiency
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* 2024/12 - 2025/06: **8th Workshop on Efficient Deep Learning for Computer Vision**, CVPR | Nashville, TN \\
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*Technical Program Committee*
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* Languages: Python, C/C++, C, Git, Bash
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* Deep Learning Frameworks: PyTorch, TensorFlow, OpenCV, Keras, MMCV, MMSeg
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* Computer Vision Algorithms: Vision-Language Models, Video Understanding, Image/Video Segmentation, Multi-sensor Fusion, Low-light Vision
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* Technologies & Tools: Visual Studio, Linux, Hugging Face, Docker
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* Computer Vision Algorithms: Multimodal Vision-Language Models, Video Understanding, Image/Video Segmentation, Multi-sensor Fusion, Low-light Vision
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* Technologies & Tools: Linux, Bitbucket, Hugging Face, Docker, Visual Studio
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* Soft skills: Written and Verbal Communication, Passion, Teamwork, Mathematical Skills
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