Postgraduate student
Research project: audio-driven video human animation generation
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I have over six years of experience in machine learning, computer vision, and deploying deep learning models into production environments, with a strong focus on data quality and annotation workflows. My background includes designing and implementing real-time systems for 3D motion capture, facial recognition, and character animation, where I handled end-to-end pipelines from data collection and labeling to model training and inference. I am proficient in Python (PyTorch, NumPy, OpenCV), C++, and ONNX Runtime, and have worked extensively with tools and frameworks for high-performance inference, automation, and telemetry. My projects have required meticulous attention to data preprocessing, labeling accuracy, and integration of annotated datasets into scalable AI solutions, particularly in computer vision and 3D graphics domains. I am passionate about building reliable data pipelines and leveraging my expertise to improve the quality and efficiency of AI training data.
Research project: audio-driven video human animation generation
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