Avner EL BAZ
AI Engineer & Data Scientist
VIE Program Target (Starting Oct. 2026) | ENSAE Paris Graduate
AI Engineer & Data Scientist
VIE Program Target (Starting Oct. 2026) | ENSAE Paris Graduate
Specialized in accelerating machine learning inference workflows, optimizing high-dimensional RAG state spaces, and maintaining system integrity through defensive AI architectures. My methodology matches deep mathematical rigor from ENSAE Paris with close-to-metal processing implementations.
Orchestrating advanced RAG validation framework configurations, implementing Determinantal Point Processes (Sgbot evaluation), and deploying automated pipelines via Kedro/MLflow layers.
Modeled territorial hospital clustering boundaries using HDBSCAN and UMAP projections. Automated low-latency regional map rendering engines using standard Mapbox frameworks.
Executed behavior isolation setups for runtime binary malware logging (WannaCry). Configured sandboxed authorization services using standalone Django stacks.
Advanced concentration profiles covering Deep Learning mechanics, Natural Language Parsing, Bayesian framework computation paradigms, and Optimal Transport.
Intensive foundational research training across Theoretical Linear Algebra, Classical Physics, and structured algorithmic execution routines.
Coached, developed, and graded rigorous oral examinations focusing on High-Dimensional Analytics and Mathematical Real Analysis sequences.
Python, Cython, SQL, R, JavaScript, C2 French, B2+ English
PyTorch, Scikit-Learn, Transformers, Pandas, DuckDB, Geopandas
Docker, MLflow, Kedro, Git, LakeFS, Airflow, Argo CD
FastAPI, Streamlit, Django, Mapbox, HTML/CSS