Uday Kamath, Ph.D. in

Uday Kamath, Ph.D.

Sharpshooter · DISC type CD
Chief Analytics Officer at Smarsh
📍 Ashburn, Virginia, United States

Uday Kamath is the Chief Analytics Officer at Smarsh, specializing in AI, machine learning, and NLP for the financial and government sectors. A prolific author of multiple books on deep learning and AI, he also holds patents in machine learning frameworks. People who have worked with him describe him as brilliant, enthusiastic, and a practical, hands-on problem solver.

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Experience
29 Years
Current Role
Chief Analytics Officer
Job Level
Leadership
Location
Ashburn, Virginia, United States
Personality Overview

How Uday shows up

Thorough Evaluator
Precise But Practical
Rigorous & Demanding

They are less concerned about the product and more about its potential impact. They respond well to strong and respectful communication. They put a lot of effort into ensuring personal success.

Priorities

Topics Uday cares about

Large Language Models
Recently co-authored a book on LLMs and received a patent for a multilingual LLM framework designed to detect compliance risks at scale.
Explainable AI (XAI)
Authored the book "Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning, " establishing his expertise and deep interest in model transparency.
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Career

Work history

1-2021
Chief Analytics Officer
Smarsh
6-2014 - 6-2023
Advisor
Falkonry
8-2017 - 12-2020
Chief Analytics Officer
Digital Reasoning
8-2015 - 8-2017
Chief Data Scientist
BAE Systems Applied Intelligence
2-2014 - 7-2015
Senior Architect, Analytics Practice Head Americas
BAE Systems Applied Intelligence
In the press

Media appearances

Building a Collaborative Culture in Analytics – Data Legends Podcast (Episode featuring Uday Kamath, Ph.D., Chief Analytics Officer at Smarsh). Featured in Data Legends (Spotify)
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Smarsh Data Science Team Publishes the First Comprehensive Textbook on Large Language Models (LLMs). Featured in PR Newswire
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Education
2008 - 2013
Ph.D
George Mason University
1997 - 1999
MS
University of North Carolina at Charlotte
1992 - 1996
B.E
University of Mumbai
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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