Maya Ravichandran

Examiner
DISC Type : cs

Research Scientist at Netflix

San Francisco, California, United States

Overview

Maya Ravichandran is a Machine Learning Research Scientist at Netflix, focusing on agentic AI for managing movie and TV show launches. A Marshall Scholar, she earned an MSc from Oxford and an MPhil from Cambridge. Her experience spans generative AI in supply chain automation at Regrello and deep learning for genomics research.

Outside of her professional work, Maya is an avid birder, having spotted over 286 species, and enjoys classical music, playing both the violin and piano. She also has a passion for hiking. During her undergraduate years at Rutgers, she served on the student government executive board and was president of the Venture Capital Club.

As an undergraduate, Maya was one of only 46 students in the U. S. to receive the prestigious Marshall Scholarship for postgraduate study in the UK.

Personality Overview

Process Oriented

Status Quo Seeker

Unexpressive

Being observant comes to them naturally.  They are always well-planned and adopt a systematic approach. They are heavily focused on quality and prefer doing things the right way, even if it takes time.

Topics They Care About

Agentic AI
Her current role at Netflix involves researching and developing agentic AI systems for managing the launch of new movies and TV shows.
AI in Medicine
She has a background in therapeutic sciences and has researched deep learning for Alzheimer's genomics, aspiring to be a physician-scientist applying AI in medicine.
Birdwatching
Actively pursues birding as a hobby and has a life list of 286 species seen, indicating a strong personal interest in ornithology and nature.

Media Appearances

Maya has no verified media appearances

Work History

3-2025
Research Scientist at Netflix
11-2024 - 3-2025
Machine Learning Research Intern at Netflix
11-2023 - 8-2024
AI Software Engineer at Regrello
4-2023 - 6-2023
Business Development Intern at Apollo Therapeutics
4-2022 - 8-2022
Machine Learning Researcher at University of Oxford

Education

Master of Science - MSc from University of Oxford
Master of Philosophy - MPhil from University of Cambridge

More Information

Social Presence :

Prographics :

Exp : 2 Location : San Francisco, California, United States Job Level : N/A Designation : Research Scientist at Netflix
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Insights For Selling To Maya

During A Call Or A Meeting

DO's

  • Spend time addressing concerns around risk and change, they will have them even if they don't express them
  • Expect them to be slow and cautious, encourage them to ask more questions
  • Ask them which other stakeholders would be important for this purchase decision

DONT's

  • Don't push them too hard to make fast decisions, give them time
  • Avoid getting into storytelling mode, especially when they ask specific questions
  • Don't rely on relationship building even if they act pleasantly

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Maya is

  • Proof of usage by others in the industry, case studies showing ROI are likely to work the best with them.
  • Will you ever get a clear answer from Maya

  • They are unlikely to say no, it's better to stop yourself once you have exhausted all the options.

Insights For Deal Planning

    How fast (or slow) will Maya move?

  • They are some of the slowest movers and take their time reaching decisions.
  • Can Maya take some risk or not?

  • They have very low acceptance of risk even if they do not say it directly.

You And Maya

Personality Compatibility


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