1-Internship as a Apprentice AI engineer at CoTAI Studio

June to December 2024

• Conducted research and engineering in the field of computer vision. Explored this repository for details. The research journey spanned from the history of computer vision (e.g., MobileNet, GoogleNet, DenseNet, ResNet, RepVGG) to modern advancements like SAM, DINOv2, DETR, and GANs.
• Investigated image and video retrieval methods, focusing on multimodal feature extraction. Developed and deployed a retrieval system on both local servers and AWS cloud. See this paper “Multimodal Contextualized Support for Enhancing Video Retrieval System” for more details.
• Gained expertise with Docker for efficient engineering workflows. Deployed ONNX models on various backends such as TensorRT and OpenVINO. Deployed and served AI models using tools like Triton Inference Server and FastAPI.