Mor Ndour
Paris,Île-de-France
Summary
AI Engineer with hands-on experience designing and deploying production-ready AI solutions, specializing in LLMs, NLP, and scalable data pipelines. Strong focus on interpretable AI and data-driven decision-making, delivering measurable business value from complex data.
Overview
2
2
years of professional experience
1
1
Certification
Work history
Data Scientist NLP
Pastolait
Full remote
10.2024 - Current
- Enhanced existing NLP models, reducing error rates by 30% through advanced tuning and data augmentation.
- Developed entity recognition models that improved data extraction accuracy by 25%.
- Collaborated with cross-functional teams to integrate NLP solutions into enterprise-level applications.
AI Research Scientist
Lipn
Paris, Île-de-France
05.2025 - 10.2025
- Built a LLM-based conversational agent that provides human-readable explanation for complex ML model predictions, enhancing transparency and user trust.
- Fine-tuned Mistral-7B using LoRa techniques, optimizing model performance for domain-specific query understanding and reasoning.
- Engineered advanced prompt strategies chain-of-thought prompting to improve reasoning accuracy and response coherence.
- Implemented a evaluation framework using BERTScore, combined with model interpretability tools (SHAP, LIME), to quantitatively assess explanation quality and LLM response faithfulness.
ML/Data Engineer
Orange Telecoms
Dakar, Sénégal
09.2023 - 06.2024
- Engineered scalable ETL pipelines that automated ingestion and transformation from 10+ data sources, reducing data processing time by 40% and improving data availability for analytics.
- Developed a customer segmentation algorithm using clustering techniques, enabling targeted marketing campaigns that increased ROI by 35%.
- Designed and deployed an automated ML monitoring system to track data drift and model performance in real-time.
Education
Msc Data & AI Engineering -
Université Paris-saclay
Versailles, France /2024 - /2025
Computer Science Engineer -
École Polytechnique De Thiès
Thiès, Sénégal /2019 - /2024
Skills
- PyTorch, TensorFlow, Scikit-learn
- LLMs, RAG, Fine-tuning
- MLflow, MLOps, CI/CD
- LangChain, LlamaIndex, Hugging Face
- Hadoop, Apach Spark, Kafka
- Elastisearch, BigQuery, Data warehousing
- SQL, NoSQL, Power BI
- Airflow, ETL, Data Modelling
- Azure Databrick, GCP(VertexAI), AWS
- Docker, Kubernetes, Jenkins, Terraform, Git
Languages
French
Native
English
Upper intermediate (B2)
Certification
AWS Certified Machine Learning Engineer Associate (MLA-C01)
Research & Publications
Co-authored research article, "Democratizing AI Model Explainability Using Large Language Models (LLMs)" , Submitted to the EGC 2026 Conference.
Timeline
AI Research Scientist
Lipn
05.2025 - 10.2025
Data Scientist NLP
Pastolait
10.2024 - Current
ML/Data Engineer
Orange Telecoms
09.2023 - 06.2024
Msc Data & AI Engineering -
Université Paris-saclay
/2024 - /2025
Computer Science Engineer -
École Polytechnique De Thiès
/2019 - /2024