基本信息
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职业迁徙
个人简介
My background and skills are summarized as follows:
1.ML&DL: Boast 5 years of experience in machine learning and deep learning; Proficient in TensorFlow, PyTorch, and various DL architectures such as Transformers, CNNs, and Autoencoders; Skilled in ML training, monitoring, and deploying pipelines on distributed GPU-accelerated cloud platform.
2.Data: Expertise in handling imperfect and varied data sources (images/videos/timing signals), with experience in large-scale dataset maintenance (collection/labeling/cleaning) and pre-processing; Possess strong quantitative and analytical capabilities in feature engineering and visualization.
3.Software: Possess 5 years of software engineering experience in developing cutting-edge techniques, such as media compression and computer vision; Strong programming background in Python, C/C++, Linux, and Git version control, and have contributed to influential open-source repositories.
4.Projects: Proven abilities in project decomposition, time management, and problem-solving;
Successfully delivered solutions to tackle real-world challenges, such as the Driver State Monitoring.
1.ML&DL: Boast 5 years of experience in machine learning and deep learning; Proficient in TensorFlow, PyTorch, and various DL architectures such as Transformers, CNNs, and Autoencoders; Skilled in ML training, monitoring, and deploying pipelines on distributed GPU-accelerated cloud platform.
2.Data: Expertise in handling imperfect and varied data sources (images/videos/timing signals), with experience in large-scale dataset maintenance (collection/labeling/cleaning) and pre-processing; Possess strong quantitative and analytical capabilities in feature engineering and visualization.
3.Software: Possess 5 years of software engineering experience in developing cutting-edge techniques, such as media compression and computer vision; Strong programming background in Python, C/C++, Linux, and Git version control, and have contributed to influential open-source repositories.
4.Projects: Proven abilities in project decomposition, time management, and problem-solving;
Successfully delivered solutions to tackle real-world challenges, such as the Driver State Monitoring.
研究兴趣
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