Vimal Thilak

Questioner
DISC Type : c

Engineer working on research topics at Apple

Daly City, California, United States

Overview

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.

Personality Overview

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.

Topics They Care 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.
Video Representation
Shares and promotes recent research from his team related to efficient learning of video representations for planning and reasoning.

Media Appearances

Vimal has no verified media appearances

Work History

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

Education

Ph.D. from New Mexico State University
M.S.E.E from The University of Texas at Dallas

More Information

Social Presence :

Prographics :

Exp : 13 Location : Daly City, California, United States Job Level : Middle Designation : Engineer working on research topics at Apple
URL has been copied!

Insights For Selling To Vimal

During A Call Or A Meeting

DO's

  • Share as much information as possible regarding your product
  • Back up any claims with data and numbers
  • Emphasise more on facts and measurable benefits

DONT's

  • Don’t depend too much on anecdotal evidence, it reduces their confidence
  • Avoid rushing them, be polite and patient
  • Don’t try to be too friendly or informal with them

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Vimal is

  • Ensuring that the product delivers ROI, cost-effective pricing and process compliance are very important for them.
  • Will you ever get a clear answer from Vimal

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Vimal move?

  • If they have the information that they need, they can move fast at making their decisions.
  • Can Vimal take some risk or not?

  • They can take some risk if they are confident that they have analyzed the circumstances well.


You And Vimal

Personality Compatibility


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