Mina Parham

Machine Learning Engineer at Transformer Lab

Old Toronto, Ontario, Canada
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Summary

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Mina Parham is a Machine Learning Engineer with seven years of experience and a four-year focus on LLMs, reinforcement learning, and building scalable deep learning systems. She bridges research and production—during her time at Keatext she implemented PPO-based RLHF, applied LoRA/QLoRA and double quantization to cut GPU memory usage, and added vLLM inference support that yielded a 2.2× speedup. A Université de Montréal-trained researcher and former DataCamp instructor, she excels at translating advanced alignment and prompting techniques into deployable workflows. Based in Toronto and now at Transformer Lab, Mina thrives on ambiguity, learns fast, and prefers falling in love with the problem rather than the first solution.
code7 years of coding experience
job6 years of employment as a software developer
bookAmirkabir University of Technology
bookMaster's degree, AI - Polytechnique Montréal, Master's degree, AI - Polytechnique Montréal at Université de Montréal
languagesEnglish
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Stackoverflow

Stats
1reputation
0reached
2answers
0questions
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Github Skills (37)

multilabel-classification10
sentence-embeddings10
benchmark10
neural-search10
sentence-transformers10
retrieval10
barrage10
information-retrieval10
text-classification10
semantic-search10
sts10
bug-reporting10
cosine-similarity10
embedding10
clustering10

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:29 commits, 50 pushes, 1 branch in 2 years
mina-parham/multi-agentDRL

Apr 2020 - Sep 2020

Contributions:11 commits, 9 pushes, 1 branch in 5 months
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Mina Parham - Machine Learning Engineer at Transformer Lab