About
Who I Am
I’m a PhD-level AI Engineer with 10+ years of experience specializing in Machine Learning, Data Engineering, and Cloud Architecture. I build scalable AI platforms that solve real-world problems in energy, transportation, finance, and industry.
My approach combines academic rigor with pragmatic engineering — delivering production-ready solutions that create measurable business impact.
What I Do
AI & Machine Learning
Supervised & unsupervised learning
Natural Language Processing (NLP)
Transformers & Large Language Models (LLMs)
Computer vision & signal processing
Predictive analytics & anomaly detection
Data Engineering & Big Data
Apache Spark, Kafka, Airflow
Data lakes & Delta Lake architecture
Real-time streaming pipelines
ETL/ELT at scale
Cloud & MLOps
AWS, GCP, Azure platforms
MLflow, Kubeflow, Docker, Kubernetes
CI/CD for ML models
Infrastructure as Code (Terraform)
Experience & Clients
Over the past decade, I’ve collaborated with leading organizations including GreenFlex - Total Énergie, SNCF Réseau, TAG Heuer - LVMH, Drone Volt Group, and research institutions.
Key achievements:
Designed ML pipelines processing millions of records daily
Architected cloud-native platforms reducing costs by 40%
Built real-time anomaly detection for energy optimization
Led cloud migration projects for legacy systems
Developed LLM-based document analysis solutions
Teaching & Mentoring
I’m passionate about sharing knowledge and developing talent:
50+ consultants trained from Boston Consulting Group, TF1, Bouygues, Sopra Steria, BPCE, Atos, and Micropole on topics including Apache Spark, Databricks, and Data Science.
20+ professionals mentored via OpenClassrooms in Data Science & Machine Learning.
3 years as mentor at École Polytech Paris Sud.
Publications & Research
8 peer-reviewed publications in international journals and conferences
Selected venues: EUSIPCO, WoSSPA, GRETSI
Skills Matrix
| Domain | Technologies & Expertise |
|---|---|
Machine Learning | Supervised/Unsupervised, NLP, Transformers, LLMs, Computer Vision, Time Series, Anomaly Detection |
Data Engineering | Apache Spark, Kafka, Airflow, Delta Lake, Databricks, Data Warehousing, ETL/ELT |
Cloud Platforms | AWS (EMR, S3, Lambda, SageMaker), GCP (BigQuery, Dataflow), Azure |
MLOps & DevOps | MLflow, Kubeflow, Docker, Kubernetes, CI/CD, Terraform, Git |
Programming | Python, Scala, SQL, PySpark, Bash |
Frameworks | TensorFlow, PyTorch, scikit-learn, Hugging Face, Pandas, NumPy |
Databases | PostgreSQL, MongoDB, Cassandra, Redis |
Languages | French (native), English (fluent), Arabic (native) |
