Vimal Thilak is an engineer at Apple focused on machine learning research, particularly in deep learning and its application to computer vision. He holds a Ph. D. from New Mexico State University and has previously worked on computer vision algorithms and video imaging R&D at companies like Blippar and Intel.
His academic research includes developing novel, model-based approaches for material classification using passive polarimetric imagery, which analyzes the orientation of light waves reflected from objects.
Read the full overview →It is quite likely of them to ask for pricing or other concessions. They prefer to do thorough analysis of any situation. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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