Tegjyot Singh Sethi (TJ) in

Tegjyot Singh Sethi (TJ)

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Staff Software Engineer/ TLM at Google
📍 Mountain View, California, United States

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.

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Experience
11 Years
Current Role
Staff Software Engineer/ TLM
Job Level
Middle
Location
Mountain View, California, United States
Personality Overview

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Communication Style
Decision Approach
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Priorities

Topics Tegjyot cares 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.
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Career

Work history

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

Media appearances

No media yetWe could not find public media appearances for this person.
Education
2013 - 2017
Doctor of Philosophy (PhD)
University of Louisville
Graduate Certificate in Data Mining
University of Louisville
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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