


👋 Hello
I’m Hammad Fahim,
Based in Toronto, Canada.
I’m a machine learning scientist and NLP researcher with a PhD from the University of Ottawa, specializing in emotion analysis and model interpretability. I design datasets, train and evaluate transformer-based models, and ship them to production, working daily with PyTorch, Hugging Face, TRL, and the broader ML tooling stack. When I’m off the clock, I happily geek out about cars, bikes, and watches, and I’m usually planning my next trip.

Education

Education

Education

Ph.D. Computer Science
University of Ottawa
2021 - 2025

Ph.D. Computer Science
University of Ottawa
2021 - 2025

Ph.D. Computer Science
University of Ottawa
2021 - 2025

MS Computer Science
Instituto Politecnico Nacional
2018 - 2020

MS Computer Science
Instituto Politecnico Nacional
2018 - 2020

MS Computer Science
Instituto Politecnico Nacional
2018 - 2020

BS Computer Science
National University of Computer and Emerging Sciences
2013 - 2017

BS Computer Science
National University of Computer and Emerging Sciences
2013 - 2017

BS Computer Science
National University of Computer and Emerging Sciences
2013 - 2017

Experience

Experience

Experience

AI Research Scientist - Co-op
National Research Council Canada
May 2024 - Dec 2024
Analyzed aporophobic content on social media, built and annotated a novel dataset, and applied prompt-engineering and alignment to improve model performance—culminating in a paper accepted at NAACL 2025.

AI Research Scientist - Co-op
National Research Council Canada
May 2024 - Dec 2024
Analyzed aporophobic content on social media, built and annotated a novel dataset, and applied prompt-engineering and alignment to improve model performance—culminating in a paper accepted at NAACL 2025.

AI Research Scientist - Co-op
National Research Council Canada
May 2024 - Dec 2024
Analyzed aporophobic content on social media, built and annotated a novel dataset, and applied prompt-engineering and alignment to improve model performance—culminating in a paper accepted at NAACL 2025.

Applied Scientist II
Amazon
May 2023 - Sep 2023
Built a GPT-based model in Python (Hugging Face Transformers) to predict appliance names from user utterances, engineered a distributed pipeline over 60M records, cut 8M faults in offline tests with significant accuracy gains, and presented the work at an internal Amazon conference.

Applied Scientist II
Amazon
May 2023 - Sep 2023
Built a GPT-based model in Python (Hugging Face Transformers) to predict appliance names from user utterances, engineered a distributed pipeline over 60M records, cut 8M faults in offline tests with significant accuracy gains, and presented the work at an internal Amazon conference.

Applied Scientist II
Amazon
May 2023 - Sep 2023
Built a GPT-based model in Python (Hugging Face Transformers) to predict appliance names from user utterances, engineered a distributed pipeline over 60M records, cut 8M faults in offline tests with significant accuracy gains, and presented the work at an internal Amazon conference.

Graduate Researcher
SafeToNet
Mar 2021 - May 2023
Researched emotion detection, hate speech, and child-abuse signals in social media using zero- and few-shot classification; designed data-augmentation strategies that boosted performance in low-resource languages; and collaborated with the SafeToNet team to deliver innovative safeguards for online safety and well-being.

Graduate Researcher
SafeToNet
Mar 2021 - May 2023
Researched emotion detection, hate speech, and child-abuse signals in social media using zero- and few-shot classification; designed data-augmentation strategies that boosted performance in low-resource languages; and collaborated with the SafeToNet team to deliver innovative safeguards for online safety and well-being.

Graduate Researcher
SafeToNet
Mar 2021 - May 2023
Researched emotion detection, hate speech, and child-abuse signals in social media using zero- and few-shot classification; designed data-augmentation strategies that boosted performance in low-resource languages; and collaborated with the SafeToNet team to deliver innovative safeguards for online safety and well-being.

Research Engineer
Abstrakt Co.
Aug 2020 - Jan 2021
Fine-tuned LLMs for hate-speech detection and target classification, developed profiling models to identify fake-news spreaders on social media, and published this work at an ACL 2019 workshop and CLEF 2020.

Research Engineer
Abstrakt Co.
Aug 2020 - Jan 2021
Fine-tuned LLMs for hate-speech detection and target classification, developed profiling models to identify fake-news spreaders on social media, and published this work at an ACL 2019 workshop and CLEF 2020.

Research Engineer
Abstrakt Co.
Aug 2020 - Jan 2021
Fine-tuned LLMs for hate-speech detection and target classification, developed profiling models to identify fake-news spreaders on social media, and published this work at an ACL 2019 workshop and CLEF 2020.

Graduate Researcher
Instituto Politecnico Nacional
Aug 2018 - Jul 2020
During my Master’s at the university’s Center for Computing Research (CIC), I built end-to-end NLP systems and co-authored papers on bot and gender profiling; hate-speech detection, aggressive-behavior modeling, and target classification; extractive QA on TweetQA; and profiling fake-news spreaders.

Graduate Researcher
Instituto Politecnico Nacional
Aug 2018 - Jul 2020
During my Master’s at the university’s Center for Computing Research (CIC), I built end-to-end NLP systems and co-authored papers on bot and gender profiling; hate-speech detection, aggressive-behavior modeling, and target classification; extractive QA on TweetQA; and profiling fake-news spreaders.

Graduate Researcher
Instituto Politecnico Nacional
Aug 2018 - Jul 2020
During my Master’s at the university’s Center for Computing Research (CIC), I built end-to-end NLP systems and co-authored papers on bot and gender profiling; hate-speech detection, aggressive-behavior modeling, and target classification; extractive QA on TweetQA; and profiling fake-news spreaders.

Projects

Projects

Projects
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Publications

Publications

Publications
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Contact

Contact

Contact
Let's Get in Touch!

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Address

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