Computer Vision and Deep Learning in Singapore
Location:Singapore, Singapore (On-site)Education level: Masters
Education field: Engineering
Years of experience: Less than 2 years
Attributes that best describes:
Undergraduate degree : Electrical and Electronics Engineering
Masters degree (by Research) : Computer Vision and Deep Learning (Biomedical Engineering Dept)
I'm proficient in Python, C/C++, and MATLAB. I've worked with OpenCV extensively, Keras (Tensorflow) for deep learning and also packages such as scikit-learn, pandas, scipy and numpy for machine learning.
I've worked on projects such as face detection and gender classification, terrain mapping and path planning with disparity maps, eye tracking for VR headsets, classification of plaques in ultrasound carotid artery images and most recently, deep learning for segmentation of drainage images. My strong suits lie in Computer Vision, Machine learning and Deep Learning. Also, I have relevant publications in the above-mentioned projects.
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