Aditya Sinha

Critic
DISC Type : C

Research Scientist at Netflix

San Francisco, California, United States

Overview

Aditya is a Research Scientist at Netflixs Search and Recommendation team, specializing in applying Large Language Models. A graduate of UIUC with an MS in Computer Science, he has a strong research background from roles at Google and Microsoft, focusing on graph representation learning.

He is deeply passionate about the machine learning research community, frequently presenting his work at top-tier academic conferences like NeurIPS, ICCV, and RecSys. Aditya also has experience as a Graduate Teaching Assistant, demonstrating a commitment to mentoring and education in computer science.

Unique fact: Aditya co-authored research on "Matryoshka Representations, " a novel approach for learning flexible AI models that adapt to different computational budgets.

Personality Overview

Negotiator

Critic

Information Seeker

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

Topics They Care About

Generative AI Search
He was part of the team at Netflix Research that recently launched a new conversational, Generative-AI based search and recommendation experience for members.
Representation Learning
His thesis and recent publications focus on learning structured and flexible representations, including using Hyperbolic Embeddings and modular manifolds.
Graph Neural Networks
During his time at Google and Microsoft Research, he developed scalable, efficient, and differentially private Graph Neural Network learning algorithms.

Media Appearances

Aditya has no verified media appearances

Work History

6-2024
Research Scientist at Netflix
8-2022 - 5-2024
Graduate Teaching Assistant at University of Illinois Urbana-Champaign
5-2023 - 8-2023
Machine Learning Intern at Netflix
6-2021 - 7-2022
Research Engineer at Google
8-2020 - 6-2021
Research Fellow at Microsoft

Education

8-2022 - 5-2024
MS in Computer Science (Thesis Track) from University of Illinois Urbana-Champaign
2015 - 2020
Bachelor of Engineering - BE(Hons.) from Birla Institute of Technology and Science, Pilani

More Information

Social Presence :

Prographics :

Exp : 5 Location : San Francisco, California, United States Job Level : N/A Designation : Research Scientist at Netflix
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Insights For Selling To Aditya

During A Call Or A Meeting

DO's

  • Tell them what ROI they can expect
  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories

DONT's

  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don’t try too hard to build a relationship with them
  • Avoid phrases like ‘trust me’, ‘others just love’ etc.

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Aditya is

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

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

Insights For Deal Planning

    How fast (or slow) will Aditya move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Aditya take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Aditya

Personality Compatibility


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