Anurag Ajay

Critic
DISC Type : C

Research Scientist at Google DeepMind

Mountain View, California, United States

Overview

Anurag Ajay is a Research Scientist at Google DeepMind, where he focuses on personalization and reasoning for Project Astra. He holds a PhD from MIT CSAIL, specializing in Offline Reinforcement Learning, Generative Modeling, and Foundation Models for decision-making. His work aims to enable AI agents to learn and perform complex tasks.

Originally from Bihar, India, Anurag is driven by a passion for creating new technologies that solve real-world problems. He enjoys learning and applying new mathematical and statistical techniques to his research, constantly pushing the boundaries of what intelligent agents can achieve in complex, interactive environments.

He is a key contributor to Google DeepMind’s Project Astra, a high-profile initiative to build the future of universal and helpful AI agents.

Personality Overview

Critic

ROI Driven

Objective Thinker

It is very likely that they will negotiate pricing or other important terms.  They choose to analyze logically and value facts to emotions. They like to do things independently and don’t look for support from others.

Topics They Care About

Human-AI Collaboration
His work on Project Astra and Gemini is centered on building the next generation of helpful multi-modal AI agents that can seamlessly collaborate with humans.
Foundation Models
A core theme of his PhD research at MIT and internships at Meta and Google, focusing on their application for decision-making and embodied AI.
Reinforcement Learning
A primary area of his expertise, with numerous publications on topics like Offline RL, Meta RL, and applying deep reinforcement learning to robotics.

Media Appearances

Anurag has no verified media appearances

Work History

8-2024
Research Scientist at Google DeepMind
9-2017 - 8-2024
Graduate Student Researcher at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
6-2023 - 1-2024
Research Intern at Meta
6-2020 - 8-2020
Research Intern at Google
9-2014 - 4-2017
Undergraduate Research Assistant at Berkeley Artificial Intelligence Research

Education

9-2019 - 8-2024
Doctor of Philosophy - PhD from Massachusetts Institute of Technology
9-2017 - 8-2019
Master of Science - MS from Massachusetts Institute of Technology

More Information

Social Presence :

Prographics :

Exp : 7 Location : Mountain View, California, United States Job Level : N/A Designation : Research Scientist at Google DeepMind
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Insights For Selling To Anurag

During A Call Or A Meeting

DO's

  • Don’t forget to mention how you compare to competition on both features and pricing
  • Be ready to answer many clarity-seeking questions and requests for information
  • Be formal and objective, they will appreciate it more

DONT's

  • Don’t try to give too many examples of other users, they like to make their own decisions
  • Don't give superficial answers, they are easily rattled by them
  • Do not use very emotional or colorful language

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Anurag is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Anurag

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Anurag move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Anurag take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Anurag

Personality Compatibility


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