Freelancer profile translated to English.
Back to original languageAbout Mously Dior
📩 I am a Machine Learning Scientist passionate about designing and deploying robust and reliable ML solutions. Contact me to arrange a video conference and discuss your project together, whether it's designing an innovative AI solution or optimizing your existing systems. My daily rate is indicative and varies depending on the complexity of the mission and its duration.
✅ What my colleagues appreciate:
- Quick understanding of business challenges (across all sectors)
- Scientific rigor, in-depth knowledge of machine learning
- Proactive in technical, methodological, and architectural choices
- Clear communication, even with non-technical teams
- Well-documented, tested, and directly integratable deliverables
- Ability to work autonomously, while ensuring regular and structured follow-up
- Collaboration in a professional and human atmosphere
🎯 My services
- Assistance in defining machine learning, deep learning, AI projects and technical scoping
- Data extraction and transformation
- Creation of advanced reports and KPI monitoring
- Optimization of decision-making processes through data insights
- AI Modeling (Machine Learning, Deep Learning): design and training of predictive and exploratory models (e.g., regression, classification, clustering); text processing (NLP), image processing (computer vision), and time series analysis
- Design and integration of interpretability methods adapted to business needs
- Delivery of packaged Python scripts or reproducible notebooks
- Model deployment via API (Streamlit, FastAPI, Flask)
- Creation of interactive dashboards with Tableau, Power BI
- Audit and improvement of existing models or pipelines
- Training, coaching, or popularization for non-technical teams
🌍 Available for travel in IDF.
French
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- KPAMAI / NLP / Python ExpertDIGITAL AND ITSeptember 2025 - September 2025Improvement of the existing verbatim thematization pipeline using LLMs.
- Proposal of an RAG-type method for thematization
- Debugging of the LLM fine-tuning pipeline for thematization
- Improvement of spell checking by LLM
- Banook GroupLLM Engineer / Retrieval-Augmented Generation (RAG) /NLPPHARMACEUTICALS INDUSTRYMay 2025 - September 2025 (4 months)Mission to design and implement an automated RFP (Requests for Proposals) response assistance tool, based on large language models (LLMs).
- Development of a Python script using a custom RAG (Retrieval-Augmented Generation) pipeline
- Calls to the LM Studio API to interact with an LLM model locally (confidentiality).
- Implementation of an intelligent chunking system, vectorization via embeddings, local indexing, and retrieval of relevant contexts.
- Prompt optimization to structure responses (accuracy, transparency, source citation, etc.).
- Robustness testing on real RFPs, including multi-document cases, ambiguous technical questions, or sensitive regulatory topics.
- Generation of detailed logs and performance indicators (accuracy, question coverage rate, source consistency).
- Banook GroupArtificial Intelligence Expert / Innovation StrategyPHARMACEUTICALS INDUSTRYOctober 2024 - Today (1 year and 10 months)Innovation Manager role during which I define and manage the company's technological innovation strategy, with a particular focus on artificial intelligence solutions applied to health and continuous service improvement.Strategic Missions and R&D Management
- Co-construction of the company's R&D strategy in line with general management and market expectations.
- Continuous scientific and technological monitoring to anticipate sector developments (AI, digital biomarkers, health regulations, etc.)
- Definition of priority innovation directions.
- Transformation of client needs into concrete projects through close collaboration with marketing, sales, and operational teams.
- Identification, negotiation, and management of strategic partnerships: research laboratories, universities, start-ups, health & tech industry players.
- Legal and strategic support in innovation protection (patent strategy, intellectual property contracts).
Operational Management of R&D Projects and Expertise Dissemination- Launch, structuring, and supervision of internal and collaborative research projects: scientific scoping, feasibility, profitability.
- Cross-functional management of multidisciplinary teams.
- Execution or supervision of AI solution prototyping.
- Implementation of a technological validation process (design, modeling, clinical validation, preparation for industrialization).
- AI consulting and support for internal collaborators (product, medical, sales teams) and clients in understanding, implementing, or evaluating AI solutions.
- Leading conferences, workshops, and training sessions internally and externally on AI challenges.
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Education
- PhD (CIFRE)Inserm - University of Lorraine2024IA appliquée à l'analyse de l'ECG
- Master in Applied Mathematics for Data ScienceÉlie Cartan Institute - University of Lorraine2021