Ajay Karthikeyan in

Ajay Karthikeyan

Critic · DISC type C
Machine Learning Engineer II at DoorDash
📍 United States

Ajay is a Machine Learning Engineer at DoorDash, focusing on advertising, search, and recommendation systems. A graduate of the University of Illinois Urbana-Champaign, his background includes research at Microsoft and an internship with Amazons Generative AI team developing image editing solutions with diffusion models.

He co-authored a research paper on a novel, gradient-based training method for decision trees, which was published at the ICLR conference.

Read the full overview →
Experience
4 Years
Current Role
Machine Learning Engineer II
Job Level
Junior
Location
United States
Personality Overview

How Ajay shows up

Critic
Precise
Negotiator

They don’t appreciate bells and whistles unless backed by data. They are quite likely to negotiate on pricing or other key terms. They choose to analyze logically and value facts to emotions.

Priorities

Topics Ajay cares about

AI in Advertising
His current role at DoorDash and past internship at Amazon Ads center on using ML for search, recommendation, and ranking in advertising.
Generative AI
At Amazon, he implemented and fine-tuned text-to-image diffusion models for image editing, improving performance by 13%.
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Career

Work history

7-2024
Machine Learning Engineer II
DoorDash
1-2024 - 4-2024
Thesis
University of Illinois Urbana-Champaign
5-2023 - 8-2023
Applied Scientist Intern
Amazon
7-2019 - 2-2022
Research Fellow
Microsoft Research
1-2019 - 6-2019
Research Intern
Microsoft Research
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
8-2022 - 5-2024
Master of Science - MS
University of Illinois Urbana-Champaign
2015 - 2019
Bachelor of Engineering
Birla Institute of Technology and Science, Pilani
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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