MGFreelancer profile translated to English.
Back to original languageAbout Maroua
Hello, my name is Maroua, I am a Machine Learning Engineer with over 15 months of experience in NLP and LLMs. My background combines a solid theoretical foundation, practical technical skills, and a strong passion for research, with a proven track record in designing, fine-tuning, and evaluating advanced language models. I have also gained experience collaborating with business teams to solve complex problems.
Although my primary expertise is in NLP/LLMs, I remain versatile in the field of Machine Learning and am not limited solely to NLP. I am also capable of handling supervised machine learning issues or other types of challenges related to machine learning systems.
French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- CapgeminiLLM and GenAI Research EngineerSOFTWARE PUBLISHINGMarch 2024 - September 2024 (6 months)Paris, FranceCreation of a multi-module Machine Learning Pipeline:• Collection, preprocessing, creation, and annotation of the software testing dataset.• Evaluation and selection of open-source LLMs: Llama2, Mistral.• Model adaptation using Prompt Engineering techniques (Zero/few-shot, Chain of Thought, and Prompt Chaining) and Quantization ('Bits And Bytes').• Evaluation of LLM performance using Sentence Transformers. Work within an Agile environment with the Scrum framework.
- OoredooDatabase AdministratorTELECOMMUNICATIONSMarch 2023 - August 2023 (5 months)• Installation and update of the Oracle DBMS.• Creation, migration, and maintenance of databases.• Access and user management. Zero-shot classification of biomedical articles with Sentence Transformers
- LITISNLP Research EngineerMEDICALOctober 2021 - July 2022 (9 months)Rouen, FranceCreation of a multi-module Machine Learning Pipeline:• Collection, cleaning, and preprocessing of data from the PubMed/MEDLINE database.• Creation of an annotated dataset of biomedical articles specific to zero-shot for training, validation, and testing.• Design and implementation of domain-specific Sentence Transformers from biomedical Transformers (Bio BERT) and general domain Sentence Transformers (Sentence BERT).• Fine-tuning of created models on the zero-shot classification task.• Evaluation, testing, and comparison of model performance (Scikit-learn, Pandas, Numpy).• Synthesis of the work into a final thesis. Audit of the automatic billing process
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Education
- Master 2 en Machine Learning pour la Data ScienceUniversité Paris Cité2024Machine Learning pour la Data Science
- Ingénieur en Systèmes InformatiquesÉcole Supérieure d'Informatique (ESI)2022
Certifications
- IELTSBritish Council2021