Amirreza Asadzadeh in

Amirreza Asadzadeh

Critic · DISC type C
Machine Learning Software Developer at Promise Robotics
📍 Toronto, Ontario, Canada

Amirreza is a Machine Learning Software Developer at Promise Robotics, where he applies his expertise in Python, PyTorch, and robotics to innovate in the housing construction industry. A graduate of the University of Toronto with a Master of Applied Science, he has a strong background in developing and implementing novel machine learning algorithms.

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Experience
6 Years
Current Role
Machine Learning Software Developer
Location
Toronto, Ontario, Canada
Personality Overview

How Amirreza shows up

ROI Driven
Critic
Information Seeker

They choose to analyze logically and value facts to emotions. They are quite likely to negotiate on pricing or other key terms. They don’t appreciate bells and whistles unless backed by data.

Priorities

Topics Amirreza cares about

Robotics in Construction
His current role at Promise Robotics focuses on applying AI and robotics to revolutionize homebuilding, making it more efficient and sustainable.
Applied Machine Learning
His work involves implementing ML solutions for robotics and computer vision, including adapting foundation models and building scalable data pipelines on AWS.
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Career

Work history

9-2023
Machine Learning Software Developer
Promise Robotics
5-2023 - 9-2023
Machine Learning Associate
Promise Robotics
5-2023 - 9-2023
Machine Learning Associate
Vector Institute
9-2020 - 11-2022
Graduate Research Assistant for Optimization Algorithms
University of Toronto
9-2020 - 4-2022
Graduate Teaching Assistant
University of Toronto
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
2020 - 2022
Master of Applied Science (MASc)
University of Toronto
2014 - 2019
Bachelor of Science (BSc)
Sharif University of Technology
Social presence
in
Behavioral profile

DISC profile (public)

C

Calculativeness (C)

Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.

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