Keerthan Bhat in

Keerthan Bhat

Critic · DISC type C
Machine Learning Engineer at Snap Inc.
📍 San Francisco Bay Area, United States

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.

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Experience
1 Years
Current Role
Machine Learning Engineer
Job Level
Junior
Location
San Francisco Bay Area, United States
Personality Overview

How Keerthan shows up

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.

Priorities

Topics Keerthan cares 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.
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Career

Work history

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

Media appearances

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