// SHIPPED 2026

I build AI that
catches fraud &
reads sentiment.

AI engineer at Groupe Covéa, Paris. I lead fraud-detection models end-to-end, recovering millions of euros in claims, and build sentiment-analysis systems with fine-tuned LLMs that sharpen customer intelligence. Fine-tuning, LoRA adapters, prompt engineering, production monitoring: I own the full stack.

100×Faster claim classification
€1M+Fraud recovered at MAAF
75%Alert precision
3×Faster alert handling
// CORE DOMAINS
01
Expertise

Expertise

01

Fraud Detection

Production fraud-scoring models for insurance claims at Groupe Covéa: several million euros recovered at MAAF, 75% alert precision, 3× faster alert handling. I lead the full lifecycle: framing with fraud experts, engineering, deployment, monitoring.

XGBoost · scikit-learn · MLflow · Grafana
02

Sentiment Analysis

Domain-specific sentiment systems: fine-tuned CamemBERT & Mistral with LoRA / DoRA adapters, generative-AI pipelines for customer intelligence, and a working paper benchmarking FinBERT & CryptoBERT for crypto-market forecasting.

CamemBERT · LoRA / DoRA · FinBERT
03

LLM Engineering

End-to-end LLM pipelines in production: fine-tuning, benchmark frameworks across 40 labels, vLLM serving, and annotation workflows accelerated up to 100×.

Mistral · vLLM · LangChain · MLflow
02
Ask

Ask

Karl · AI

Hey, I'm Karl's AI twin. Ask me about my fraud-detection work at Covéa, my projects, or why I'd be a fit for your team.

// PRODUCTION-TESTED
03
Stack

Stack

LLM / NLP
Transformers (HF)MistralCamemBERTGPTLoRADoRAvLLMOllamallama.cppLangChainLangGraphPrompt Engineering
AI / ML
PyTorchTensorFlowscikit-learnXGBoostReinforcement LearningGraph Neural NetworksStatisticsOptimizationTime Series
Languages
PythonSQLRJavaC#C++MATLAB
Infra / MLOps
MLflowKubernetesGitLab CI/CDGitHubGrafanaLinux
Databases
PostgreSQLMySQL
Data
PandasNumPyJupyter
04
Experience

Experience

JAN 2026 / NOWParis, France

Data Scientist·Groupe Covéa

  • +Leads the full lifecycle of fraud detection models (framing → engineering → deployment → monitoring), recovering several million euros at MAAF through highly predictive scoring.
  • +Develops fraud models for civil liability at GMF and home insurance at MAAF, strengthening claim controls and reducing financial leakage.
  • +Achieves up to 3× faster alert processing through close collaboration with domain fraud experts.
  • +Builds client sentiment-analysis systems using generative AI and advanced prompt engineering to enhance customer intelligence and risk signals.
PythonXGBoostscikit-learnMLflowKubernetesPostgreSQLPrompt EngineeringGrafana
APR 2025 / SEP 2025Paris, France

Machine Learning Engineer·Groupe Covéa

  • +Fine-tuned Mistral, CamemBERT, and GPT with custom LoRA / DoRA adapters for domain-specific classification and text generation.
  • +Industrialized text classification, cutting annotation time from ~90 s → instant and accelerating the overall process by up to 100×.
  • +Achieved ~80% average performance across 40 labels via benchmark frameworks covering accuracy, latency, and robustness.
  • +Built end-to-end ML pipelines with MLflow for experiment tracking, reproducibility, and deployment.
MistralCamemBERTGPTLoRADoRAMLflowPythonvLLMPrompt Engineering
JUN 2024 / JUL 2024Nantes, France

Data Scientist·Octopize

  • +Implemented a comprehensive evaluation pipeline for avatarized (anonymized) data performance across multiple ML models.
  • +Automated testing for scalable evaluation; developed benchmarks comparing avatarized datasets against original data.
  • +Contributed to a research article on innovative avatarization approaches.
Pythonscikit-learnPandasNumPy
FEB 2024 / JUN 2024Nantes, France

Team Leader·Centrale Nantes

  • +Led a multidisciplinary team end-to-end to deliver a supercapacitor-powered bike, managing technical design, budgeting, and client requirements.
  • +Acted as the primary client liaison, translating weekly feedback into engineering solutions aligned with performance and cost goals.
SEP 2022 / JAN 2023Lebanon

Web Developer·InMobiles Holding S.A.L.

  • +Built full-stack web applications with Django and maintained REST APIs via Django REST Framework.
  • +Enhanced system security with OTP and reCaptcha authentication.
DjangoDjango REST FrameworkPython
JUN 2022 / AUG 2022Beirut, Lebanon

Internship Trainee·OGERO

  • +Studied XDSL, FTTX, PON, and ODN infrastructure at Lebanon's national telecommunications operator.
  • +Located cable faults and tested FTTH networks using OTDR.
2016 / MAR 2022Beirut, Lebanon

Teacher·Self-employed

  • +Taught math and physics to many students over ≈ 6 years.
05
Work

Work

02·2026

Risk Radar

Predicts which SaaS license seats will sit idle at renewal, flagging ~€399k/year of waste on a synthetic 500-person company.

PythonFastAPIXGBoostDuckDBMLflow
03·2025

X-code EVAL

Multi-label classification of coding exercises with ModernBERT, covering the full MLOps lifecycle from data ingestion to a deployed API.

PythonModernBERTMLOpsNLPMLflowAWSFastAPI
05

Mandelbrot & Julia Sets

Generation and visualization of Mandelbrot and Julia fractal sets.

PythonJupyter Notebook
06
Education

Education

SEP 2023 / SEP 2025Nantes, France

Engineering Degree in Artificial Intelligence·Centrale Nantes

Diplôme d'Ingénieur · Grande École · double-degree track

2019 / 2025Lebanon

Engineering Degree in Telecommunications·Lebanese University ULFG2

Electrical, Electronics & Communications Engineering · double-degree track

// OPEN TO WORK
07
Contact

Contact

Let's

Build.

Open to ML / LLM engineering roles and freelance projects. Let's make something that ships.

Available for opportunities