@@ -25,7 +25,7 @@ Work experience
2525* 2025/05 - 2025/08: ** Johnson & Johnson** , Computer Vision Team | Cambridge, MA \\
2626 * AI/ML Intern, Computer Vision*
2727 * Mentor: [ Brandon Ginley] ( https://scholar.google.com/citations?user=UDz46zwAAAAJ&hl=en )
28- *
28+ * Propose a semi-supervised learning approach that leverages foundation models to improve annotation efficiency
2929
3030* 2024/12 - 2025/06: ** 8th Workshop on Efficient Deep Learning for Computer Vision** , CVPR | Nashville, TN \\
3131 * Technical Program Committee*
3636======
3737* Languages: Python, C/C++, C, Git, Bash
3838* Deep Learning Frameworks: PyTorch, TensorFlow, OpenCV, Keras, MMCV, MMSeg
39- * Computer Vision Algorithms: Vision-Language Models, Video Understanding, Image/Video Segmentation, Multi-sensor Fusion, Low-light Vision
40- * Technologies & Tools: Visual Studio, Linux , Hugging Face, Docker
39+ * Computer Vision Algorithms: Multimodal Vision-Language Models, Video Understanding, Image/Video Segmentation, Multi-sensor Fusion, Low-light Vision
40+ * Technologies & Tools: Linux, Bitbucket , Hugging Face, Docker, Visual Studio
4141* Soft skills: Written and Verbal Communication, Passion, Teamwork, Mathematical Skills
4242
4343Publications
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