Ayushi Singh

Critic
DISC Type : C

Senior Software Engineer at Netflix

San Jose, California, United States

Overview

Ayushi Singh is a Senior Software Engineer at Netflixs Core Data Platform team, specializing in scaling open-source datastores like Cassandra. A graduate of Carnegie Mellon and the Stanford LEAD program, she is a recognized speaker at events like AWS re: Invent. Colleagues describe her as a dedicated and result-oriented engineer.

Outside of her core role, Ayushi is passionate about fostering innovation in the tech community. She actively participates as a judge for events such as the UC Berkeley AI Hackathon and the CES Innovation Awards. This reflects her keen interest in emerging technologies, particularly applications of AI in healthcare.

Unique fact: Ayushi serves on the Availability & Reproducibility Committee for the prestigious ACM SIGMOD 2024 conference.

Personality Overview

ROI Driven

Information Seeker

Precise

They prefer to do logical analysis and value evidence over emotions.  They enjoy working alone and do not rely on others very often. Unless the value is proven by data, they are unlikely to value fancy features.

Topics They Care About

Database Migration
Co-presented a talk at AWS re: Invent 2023 detailing strategies for safely migrating databases that handle millions of requests per second at Netflix.
AI in Healthcare
Served as a judge at the UC Berkeley AI Hackathon 2024, where she noted that AI applications in healthcare emerged as a dominant and innovative theme.
Open-Source Datastores
Her role at Netflix involves developing, operating, and contributing to open-source projects like Cassandra to support Netflix's global scaling efforts.

Media Appearances

Ayushi Singh Provides a Glimpse of Netflix's Strategic Use of Real‑Time Data. Featured in DataStax Digital Champions

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Work History

12-2020
Senior Software Engineer at Netflix
3-2020 - 12-2020
Software Engineer 3 at PayPal
6-2018 - 4-2020
Software Engineer 2 at PayPal
9-2017 - 2-2018
Research Assistant - Automated Demand Response for Electricity Use in Commercial Buildings at Carnegie Mellon University
5-2017 - 8-2017
Software Engineering Intern, Infrastructure at Salesforce

Education

4-2024 - 6-2025
Stanford LEAD from Stanford University Graduate School of Business
2016 - 2018
Master’s Degree from Carnegie Mellon University

More Information

Social Presence :

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Exp : 9 Location : San Jose, California, United States Job Level : Middle Designation : Senior Software Engineer at Netflix
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Insights For Selling To Ayushi

During A Call Or A Meeting

DO's

  • Leverage facts and figures wherever possible; use percentages, numbers etc.
  • Be ready to answer many clarity-seeking questions and requests for information
  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.

DONT's

  • Make extra effort to not seem pushy or confrontational
  • Don't give superficial answers, they are easily rattled by them
  • Don’t rush them till they have clearly gotten all the necessary information

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Ayushi is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Ayushi

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Ayushi move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Ayushi take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Ayushi

Personality Compatibility


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