Mohamed Farhi

NLP Engineer at Tamazight NLP

Casablanca, Morocco
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Summary

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Senior
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Top School
Mohamed Farhi is an NLP engineer with eight years of machine learning experience, based in Casablanca, Morocco, who focuses on practical multilingual and multimodal solutions. He has built end-to-end NLP systems for under-resourced Moroccan languages—text-to-speech for Tachelhit and Tarifit, machine translation across Moroccan dialects, and ASR with automated subtitling—while curating cross-modal datasets. His recent work spans product-facing roles, from vector-database multimodal search for e-commerce to prototyping LLM-based agents, showing a knack for shipping applied ML. Mohamed contributes to TensorFlow’s documentation, improving clarity and examples in foundational guides, reflecting attention to reproducibility and pedagogy. Trained at 1337 Coding School with a strong math/physics background, he blends rigorous problem-solving with hands-on engineering in low-resource language settings. Colleagues would describe him as a pragmatic builder who turns research-level models into usable tools for local languages and products.
code8 years of coding experience
job2 years of employment as a software developer
bookComputer Science, Computer Science at 1337 Coding School
bookMathématiques/Physique, Mathématiques/Physique at Classes préparatoires aux grandes écoles
languagesArabic, French, English, Berber
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Github Skills (5)

tensorflow10
documentation10
deep-neural-networks9
machine-learning8
python7

Programming languages (7)

TypeScriptCSSCTeXJavaScriptJupyter NotebookPython

Github contributions (5)

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tensorflow/docs

Jun 2023 - Jun 2023

TensorFlow documentation
Role in this project:
userTechnical Writer
Contributions:1 PR in 15 days
Contributions summary:Mohamed primarily contributes to the TensorFlow documentation repository. Their work involves correcting typos, fixing normalization issues, and improving the clarity of the documentation. The contributions span multiple guide documents, specifically updating the documentation for models like logistic regression and multi-layer perceptrons. The user also addressed display issues in the examples.
deep-learningmachine-learningdeep-neural-networkstensorflow-tutorialstensorflow
MedAymenF/MedAymenF

Dec 2020 - Apr 2022

Contributions:5 commits, 8 pushes, 1 branch in 1 year 3 months
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Mohamed Farhi - NLP Engineer at Tamazight NLP