Aasheesh Singh

Questioner
DISC Type : c

Senior Research Engineer at Quantiphi

Toronto, Ontario, Canada

Overview

Aasheesh is a Senior Research Engineer at Quantiphi, specializing in applied LLM research for hyper-efficient inference and compression. With a Masters degree from Université de Montréal and Mila, he has a strong background in diverse ML domains including recommender systems, computer vision, and open-source development.

Outside of his core research, Aasheesh is passionate about engaging with the broader AI community. He actively participates in discussions on topics like federated and on-device learning and enjoys sharing knowledge at industry events.

He is slated to present his teams research on transforming large LLMs into smaller, efficient, domain-specific models at the upcoming AIQonfluence 2025 conference.

Personality Overview

Cautious & Analytical

Systematic

Value Seeker

While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters.  They prefer to do thorough analysis of any situation. It is quite likely of them to ask for pricing or other concessions.

Topics They Care About

LLM Compression
His current role at Quantiphi and his upcoming conference talk focus on making LLMs smaller, more efficient, and specialized for specific domains.
Open-Source Development
He has a history of significant open-source contributions, including building a deep learning framework in Rust and adding new algorithms to the Flower federated learning framework.
Federated Learning
He contributed the FedNova algorithm to Flower Labs for federated learning and has shown interest in discussions around on-device AI and privacy.

Media Appearances

Aasheesh has no verified media appearances

Work History

9-2024
Senior Research Engineer at Quantiphi
5-2024 - 8-2024
Machine Learning Associate at Vector Institute
2-2024 - 4-2024
Machine Learning Developer at Tracel Technologies
5-2023 - 1-2024
Machine Learning Engineer at Lerna AI
7-2023 - 10-2023
Open Source Developer (Summer of Reproducibility) at Flower Labs

Education

9-2022 - 5-2024
Master of Science - MS from Université de Montréal
9-2023 - 12-2023
Master's degree from McGill University

More Information

Social Presence :

Prographics :

Exp : 1 Location : Toronto, Ontario, Canada Job Level : Junior Designation : Senior Research Engineer at Quantiphi
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Insights For Selling To Aasheesh

During A Call Or A Meeting

DO's

  • Keep some extra margin in hand as they will likely negotiate the pricing
  • Emphasize on objective proof of ROI, help them do a thorough evaluation
  • Back up any claims with data and numbers

DONT's

  • Don’t overhype the product/pitch, keep it measured
  • Avoid rushing them, be polite and patient
  • Don’t depend too much on anecdotal evidence, it reduces their confidence

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Aasheesh is

  • Ensuring that the product delivers ROI, cost-effective pricing and process compliance are very important for them.
  • Will you ever get a clear answer from Aasheesh

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Aasheesh move?

  • If they have the information that they need, they can move fast at making their decisions.
  • Can Aasheesh take some risk or not?

  • They can take some risk if they are confident that they have analyzed the circumstances well.


You And Aasheesh

Personality Compatibility


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