Abhijay Ghildyal in

Abhijay Ghildyal

Critic · DISC type C
Machine Learning Researcher at Sony Interactive Entertainment
📍 Seattle, Washington, United States

Abhijay Ghildyal is a Machine Learning Researcher at Sony Interactive Entertainments PlayStation division. He holds a Ph. D. in Computer Science from Portland State University, specializing in machine learning for computer graphics, computational visual perception, and ML safety.

His research explores the unique intersection of AI and visual arts, with work on AI-generated image quality accepted for oral presentation at a major workshop at the International Conference on Computer Vision (ICCV).

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Experience
4 Years
Current Role
Machine Learning Researcher
Location
Seattle, Washington, United States
Personality Overview

How Abhijay shows up

ROI Driven
Critic
Objective Thinker

They prefer to do logical analysis and value evidence over emotions. They are quite likely to negotiate on pricing or other key terms. They enjoy working alone and do not rely on others very often.

Priorities

Topics Abhijay cares about

AI for Visual Arts
Expressed excitement about exploring the intersection of AI and art, with his work being accepted for oral presentation at the AI for Visual Arts Workshop at ICCV.
Foundation Models
His recent papers focus on leveraging foundation models like CLIP and DINO to boost low-level perceptual similarity metrics for image quality assessment.
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Career

Work history

10-2024
Machine Learning Researcher
Sony Interactive Entertainment
6-2023 - 10-2023
Applied Scientist Intern
Amazon
5-2019 - 7-2019
Deep Learning Intern
Cambia Health Solutions
11-2017 - 8-2018
Data Scientist
Quantela Inc.
10-2015 - 11-2017
Data Science Research Analyst
Mu Sigma Inc.
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
2019 - 7-2025
PhD
Portland State University
2018 - 2019
Graduate Student
Washington State University
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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