Shengnan Cai

Deep Learning Engineer at Paravision

Shengnan Cai has a diverse range of work experience in the field of technology. In 2015, they started their career as a Computer Vision Engineer at Statsmaster Ltd. They then moved on to Microsoft, where they worked as a Software Engineer from December 2015 to December 2017. In 2018, Shengnan Cai worked as a Research Engineer at SHOEMASTER INTERNATIONAL LTD. Later that year, they joined Paravision as a Deep Learning Engineer.

Shengnan Cai earned a Master of Philosophy (M.Phil.) in Computer Science from The Hong Kong University of Science and Technology, completing the program from 2012 to 2015. In addition to their formal education, they have obtained several certifications from Coursera, including "Natural Language Processing with Sequence Models" in January 2021, "Natural Language Processing with Probabilistic Models" in September 2020, "Natural Language Processing with Classification and Vector Spaces" in August 2020, "Natural Language Processing in TensorFlow" in November 2019, "Sequences, Time Series and Prediction" in November 2019, "Introduction to Dental Medicine" in April 2019, "Using Databases with Python" in May 2018, "Convolutional Neural Networks" in January 2018, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in January 2018, "Structuring Machine Learning Projects" in January 2018, "Neural Networks and Deep Learning" in December 2017, and "Using Python to Access Web Data" in December 2017.

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