Tegjyot Singh Sethi (TJ)

Critic
DISC Type : C

Staff Software Engineer/ TLM at Google

Mountain View, California, United States

Overview

Tegjyot is a Staff Software Engineer and Technical Lead Manager at Google with deep expertise in data mining and machine learning. He holds a PhD from the University of Louisville, where he specialized in adversarial mining. People who have worked with him describe him as creative, enthusiastic, and well-informed.

He is passionate about identifying patterns in large, complex datasets and solving challenging puzzles that have a positive social impact. He actively gives back to the community by mentoring fellow data professionals through programs like the KaggleX Mentorship Program.

Unique fact: He was a finalist in the LinkedIn Economic Graph Challenge for proposing a top idea to solve challenging economic problems using data.

Personality Overview

ROI Driven

Information Seeker

Critic

They prefer to analyze logically and value objective facts over emotions.  They don’t appreciate bells and whistles unless backed by data. They are quite likely to negotiate on pricing or other key terms.

Topics They Care About

Adversarial Machine Learning
His PhD dissertation was on "Dynamic adversarial mining, " and it is listed as a primary research interest on his academic profiles.
Data for Social Impact
He explicitly states a desire to work on challenges and puzzles that can have a positive social impact.
Streaming Data
His research background includes a focus on data stream mining and building streaming big data systems.

Media Appearances

Tegjyot has no verified media appearances

Work History

11-2022
Staff Software Engineer/ TLM at Google
11-2019 - 11-2022
Senior Software Engineer at Google
8-2017 - 11-2019
Software Engineer at Google
8-2012 - 7-2017
PHD Researcher and Graduate Teaching Assistant at University of Louisville
5-2016 - 8-2016
Software Engineering Intern at Google

Education

2013 - 2017
Doctor of Philosophy (PhD) from University of Louisville
Graduate Certificate in Data Mining from University of Louisville

More Information

Social Presence :

Prographics :

Exp : 11 Location : Mountain View, California, United States Job Level : Middle Designation : Staff Software Engineer/ TLM at Google
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Insights For Selling To Tegjyot Singh

During A Call Or A Meeting

DO's

  • Be ready to answer many clarity-seeking questions and requests for information
  • Don’t forget to mention how you compare to competition on both features and pricing
  • Be ready for penetrating questions and critical examination of your pitch

DONT's

  • Don't give superficial answers, they are easily rattled by them
  • Don’t try to give too many examples of other users, they like to make their own decisions
  • Don’t rush them till they have clearly gotten all the necessary information

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Tegjyot Singh is

  • Proof of ROI, low pricing and objective proof points are the important factors for them.
  • Will you ever get a clear answer from Tegjyot Singh

  • They do not mind saying no if they believe that it is the right decision.

Insights For Deal Planning

    How fast (or slow) will Tegjyot Singh move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Tegjyot Singh take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Tegjyot Singh

Personality Compatibility


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