Freelancer profile translated to English.
Back to original languageAbout Khadija
Hello 👋
I help companies design, train, and deploy AI and machine learning solutions, specializing in NLP, speech recognition, and generative AI.
As a Data Scientist & ML Engineer, I work on end-to-end projects: data collection and preparation, model training and fine-tuning, evaluation, industrialization, and deployment.
I have experience with various challenges, especially in poorly documented and multilingual contexts, which has allowed me to develop strong technical autonomy and rapid adaptability.
Areas of Expertise
- NLP & Generative AI: text classification, RAG, machine translation, audio transcription, fine-tuning Transformer models (BERT, NLLB, Wav2Vec2, etc.)
- Machine Learning & Deep Learning: CNNs, Transformers, attention models, classification, regression, time series
- Data Engineering & Pipelines: data collection, annotation, preprocessing, and structuring
- MLOps & Deployment: MLflow, Docker, AWS, Azure, model deployment and monitoring
Technical Stack
Python · PyTorch · TensorFlow · Hugging Face · Scikit-Learn · MLflow · Docker · AWS · Azure · PySpark · SQL
French
Fluent
English
Fluent
Arabic
Native or bilingual
Remote only
Primarily works remotely
Experience
- SiliconeSignal TechnologiesData ScientistAugust 2022 - December 2025 (3 years and 4 months)Meknes, Morocco
- Fine-tuned Wav2Vec2 models for Moroccan Darija speech-to-text transcription on low-resource audio datasets
- Collected, annotated, and validated custom multilingual datasets for NLP and speech recognition tasks
- Built a proprietary Darija ↔ English parallel corpus (7,300+ sentence pairs) for NLLB-200 translation fine-tuning
- Designed and benchmarked Transformer and CNN-Attention architectures for sequential learning tasks
- Developed an automated sleep stage classification pipeline using physiological signals (heart rate + respiration) on the MESA dataset (~2,000 subjects)
- Built end-to-end data preprocessing and training pipelines for low-resource Arabic dialect NLP applications
- Conducted model evaluation, experimentation, and performance optimization for production-oriented ML workflows
- AEVAWEBNLP Research InternMay 2022 - July 2022 (2 months)Oujda, Morocco
- Developed a French Question-Answering system using CamemBERT and PyTorch
- Implemented NLP preprocessing pipelines including POS tagging, lemmatization, and text normalization
- Built and evaluated Transformer-based NLP models on Wikipedia-based QA tasks
- INRAEData Engineering InternMay 2021 - October 2021 (5 months)Aix-en-Provence, France• • Automated an end-to-end data collection pipeline for flood event monitoring across France, aggregating and structuring heterogeneous data sources
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Education
- Master – Data Exploration & Business Intelligence (EID²)Galileo Institute, Sorbonne Paris Nord University2021Master – Data Exploration & Business Intelligence (EID²)
- Bachelor of ScienceMoulay Ismail University2019Bachelor of Science