Keerthan Bhat

Critic
DISC Type : C

Machine Learning Engineer at Snap Inc.

San Francisco Bay Area, United States

Overview

Keerthan is a Machine Learning Engineer at Snap Inc. , specializing in user behavior modeling and sequential recommendation systems. A Carnegie Mellon graduate with a Masters in Computer Vision, his background includes deploying AI features on Samsung smartphones globally and working on perception for autonomous vehicles at Plus.

Personality Overview

ROI Driven

Precise

Critic

It is very likely that they will negotiate pricing or other important terms.  Unless the value is proven by data, they are unlikely to value fancy features. They prefer to do logical analysis and value evidence over emotions.

Topics They Care About

Sequential Recommendation
His current role at Snap Inc. focuses on designing algorithms for foundational user behavior modeling and sequential recommendation.
Public Speaking
He was a semi-finalist in India's "Super Speaker" reality show and is an active Toastmaster, showing a deep commitment to communication.
Generative AI & 3D Vision
His graduate studies at Carnegie Mellon, advisory role at AuraML, and recent publications focus on 3D vision and generative AI models.

Media Appearances

Keerthan has no verified media appearances

Work History

2-2025
Machine Learning Engineer at Snap Inc.
1-2025 - 2-2025
AI Research Advisor at AuraML
8-2024 - 12-2024
Graduate Teaching Assistant at Carnegie Mellon University - School of Computer Science - Language Technologies Institute
5-2024 - 8-2024
Research Engineer Intern at Plus
1-2024 - 5-2024
Graduate Teaching Assistant at Carnegie Mellon University - School of Computer Science - Language Technologies Institute

Education

Master of Science from Carnegie Mellon University
Bachelor of Engineering (B.E.) from RV College Of Engineering

More Information

Social Presence :

Prographics :

Exp : 1 Location : San Francisco Bay Area, United States Job Level : Junior Designation : Machine Learning Engineer at Snap Inc.
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Insights For Selling To Keerthan

During A Call Or A Meeting

DO's

  • Be ready to answer many clarity-seeking questions and requests for information
  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • Leverage facts and figures wherever possible; use percentages, numbers etc.

DONT's

  • Don’t try to give too many examples of other users, they like to make their own decisions
  • Don’t try too hard to build a relationship with them
  • Make extra effort to not seem pushy or confrontational

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Keerthan is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Keerthan

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Keerthan move?

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

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

You And Keerthan

Personality Compatibility


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