Aakanksha .

Critic
DISC Type : C

Member of Technical Staff, Safety at Cohere

New York City Metropolitan Area, United States

Overview

Aakanksha is a Member of Technical Staff on the Safety team at Cohere, focusing on multilingual AI safety and model merging. A graduate of New York University with a Masters in Science, her work involves red-teaming language models to address global and local harms across many languages.

She is passionate about the intellectual freedom of research, enjoying the daily process of experimentation and discovery. In her university days, she co-developed an "emotion-based music player" for a hackathon, showcasing an early interest in creative and user-centric technology applications.

Her first first-author research paper on multilingual AI safety was accepted at the prestigious EMNLP 2024 conference.

Personality Overview

Objective Thinker

ROI Driven

Information Seeker

They like to do things independently and don’t look for support from others.  They choose to analyze logically and value facts to emotions. They don’t appreciate bells and whistles unless backed by data.

Topics They Care About

Multilingual AI Safety
Her primary focus at Cohere and the topic of her first-author paper, addressing safety alignment across different languages and cultures.
Responsible AI
Demonstrated through her work in AI safety and her recent speaking engagement at the Responsible AI Ecosystem Summit.
Model Merging
A key area of her research at Cohere, exploring its effectiveness for multi-task scenarios, particularly in multilingual safety contexts.

Media Appearances

Aakanksha has no verified media appearances

Work History

9-2024
Member of Technical Staff, Safety at Cohere
1-2024 - 9-2024
Research Scholar at Cohere
7-2023 - 1-2024
Software Engineer at Barclays
2-2023 - 5-2023
CS Research Mentorship Fellow at Google
6-2022 - 8-2022
Applied Scientist Intern at Amazon

Education

8-2021 - 5-2023
Master of Science - MS from New York University
2016 - 2020
Bachelor of Technology - B.Tech. from Amity University

More Information

Social Presence :

Prographics :

Exp : 3 Location : New York City Metropolitan Area, United States Job Level : N/A Designation : Member of Technical Staff, Safety at Cohere
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Insights For Selling To Aakanksha

During A Call Or A Meeting

DO's

  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories
  • Be formal and objective, they will appreciate it more
  • Be ready for penetrating questions and critical examination of your pitch

DONT's

  • Avoid phrases like ‘trust me’, ‘others just love’ etc.
  • Do not use very emotional or colorful language
  • 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 Aakanksha is

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

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

Insights For Deal Planning

    How fast (or slow) will Aakanksha move?

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

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

You And Aakanksha

Personality Compatibility


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