Vimal Thilak in

Vimal Thilak

Questioner · DISC type c
Engineer working on research topics at Apple
📍 Daly City, California, United States

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.

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Experience
13 Years
Current Role
Engineer working on research topics
Job Level
Middle
Location
Daly City, California, United States
Personality Overview

How Vimal shows up

Value Seeker
Systematic
Price-Sensitive

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.

Priorities

Topics Vimal cares about

Machine Learning Research
Works in Apple's Machine Learning Research (MLR) group and frequently posts about new research papers and internship opportunities within his team.
Computer Vision
His career has consistently focused on applying machine learning to computer vision problems at Apple, Blippar, and CellScope.
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Career

Work history

4-2017
Engineer working on research topics
Apple
8-2015 - 4-2017
Senior Software Engineer/Research Scientist
Blippar
7-2014 - 8-2015
Computer Vision Software Engineer
CellScope
10-2013 - 3-2014
Scientific Software Engineer
ZACSi Inc.
6-2012 - 10-2013
Software Engineer
Intel Corporation
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
Ph.D.
New Mexico State University
M.S.E.E
The University of Texas at Dallas
Social presence
in
Behavioral profile

DISC profile (public)

c

Calculativeness (C)

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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