Aasheesh Singh in

Aasheesh Singh

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Senior Research Engineer at Quantiphi
📍 Toronto, Ontario, Canada

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.

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Experience
1 Years
Current Role
Senior Research Engineer
Job Level
Junior
Location
Toronto, Ontario, Canada
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Priorities

Topics Aasheesh cares 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.
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Career

Work history

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

Media appearances

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Education
9-2022 - 5-2024
Master of Science - MS
Université de Montréal
9-2023 - 12-2023
Master's degree
McGill University
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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