Europe/Paris
French
English
AI/ML Engineer building Enterprise Agents, RAG systems, MLOps workflows, and cloud AI runtimes for real business workflows. My work connects business context, production engineering, and measurable outcomes.
Open to relevant roles, collaborations, technical discussions, and high-impact AI/ML opportunities. Let's collaborate
Open to relevant roles, collaborations, technical discussions, and high-impact AI/ML opportunities. Let's collaborate
Junior World Champion| Prague, 2019
2x Vice-Champion of France| 2024, 2025
Top 15 World Ranking| Current
Work Experience
Decathlon FranceSept 2025 - Present
AI & ML Engineer (Work-Study)- Built DAISI (Decathlon AI Supplier Informations), a production Google Chat Enterprise Agent for supplier-process questions. Used LangChain/LangGraph, FastAPI, Vertex AI, Vector Database and Search, Cloud Run, Cloud SQL, MLflow/Databricks, Model Armor, DLP, GDPR safeguards, and Terraform. Impact: 13,000 hours/year saved and successful load test with 1000 concurrent users.
- Led OpsBot, an Enterprise Agent for maintenance, safety, and compliance workflows. Built governed-source RAG with source-backed answers, safe fallback, traces, evaluation, Vertex AI RAG Engine, GDPR safeguards, and an internal agent library I built to standardize agents, tools, traces, evaluation, and deployment. Expected impact / ROI: 85% first-line resolution target, 14,500+ h/year reallocated, ~€540k productivity reallocation.
- Led Summarizer, a Gemini-powered summarization platform orchestrated with Airflow/MWAA, AWS EKS/S3/ECR, Databricks Delta refresh, runtime validation, and operator runbooks.
- Led internal AI/Tech innovation through a weekly newsletter, onboarding guide, documentation/runbooks, 15+ hours of GenAI/AI/Tech trainings, and internal hackathons.
LangChain
LangGraph
RAG
Gemini
Vertex AI
GCP
Cloud Run
Cloud SQL
Terraform
FastAPI
MLflow
Databricks
Airflow/MWAA
AWS EKS
S3
ECR
Docker
PostgreSQL
Decathlon BelgiumMay 2025 - Aug 2025
Data Scientist - MLOps (Internship)- Led a strategic Data Science project to industrialize the prediction of 8 key sales KPIs (GMV, items sold) segmented by channel (InStore/OutStore, 1P/3P) for 64 sports categories.
- Built an automated forecasting pipeline using XGBoost, Apache Spark, PySpark, Databricks, AWS S3, Airflow/MWAA, and MLflow.
- Achieved +15% forecast accuracy improvement (MAPE) vs. previous manual process through rigorous model comparison (Prophet, XGBoost, LightGBM, Chronos-Bolt), feature engineering (weather, holidays, lag features), parallel processing with joblib, and deployment to MLflow Model Registry for production inference. Automated exports to Google Sheets/Tableau for business stakeholders.
Prophet
Apache Spark
Databricks
MLflow
AWS S3
Airflow
GitHub Actions
Python
Beobank NV/SAMay 2023 - Aug 2023
Data Analyst/Scientist - Banking Domain (Internship)- Processed banking transaction data with Python, VerticaPy, NumPy, Pandas, SQL, JupyterLab, and Excel. Improved transaction categorization success rate from 64% to 84% by identifying new categories, adding business rules, and iterating on classification quality. Supported income/expense identification and reusable reporting for digital banking analytics.
Python
SQL
Pandas
NumPy
VerticaPy
JupyterLab
Excel
PowerPoint
Education
JUNIA ISEN - LilleMaster's in Engineering (Diplôme d'Ingénieur), Computer Science (2023 - 2026)
Specialization in Data Science & Machine Learning.
Data Structures & Algorithms, Machine Learning, Deep Learning, Distributed Systems, Database Management (SQL & NoSQL), Operations Research, Computer Networks, Big Data (Hadoop, Spark), Cloud Computing, DevOps, Computer Vision, NLP, Software Architecture
Preparatory Classes · Computer Science & Networks (2021 - 2023)
Ranked 2nd/96 (Year 1) • 8th/76 (Year 2) · Highest Honors
Specialization in Data Science & Machine Learning.
Data Structures & Algorithms, Machine Learning, Deep Learning, Distributed Systems, Database Management (SQL & NoSQL), Operations Research, Computer Networks, Big Data (Hadoop, Spark), Cloud Computing, DevOps, Computer Vision, NLP, Software Architecture
Preparatory Classes · Computer Science & Networks (2021 - 2023)
Ranked 2nd/96 (Year 1) • 8th/76 (Year 2) · Highest Honors
Jean Perrin High School - LambersartHigh School Diploma (Baccalauréat) (2018 - 2021)
With Highest Honors
Mathematics, Physics-Chemistry, Computer Science
With Highest Honors
Mathematics, Physics-Chemistry, Computer Science
Technical Skills
AI/ML EngineeringBuilding production-ready AI/ML systems with agentic architectures, RAG pipelines, finetuning, forecasting, and MLOps.
LangChain
LangGraph
HuggingFace
RAG
Vector Databases (Vertex AI, FAISS, Chroma DB, Qdrant, Pinecone, Weaviate)
Finetuning
Python
PyTorch
TensorFlow
scikit-learn
XGBoost
LightGBM
Prophet
Forecast
BERTopic
Pandas
NumPy
MLOps
MLflow
W&B
Cloud PlatformsDeploying AI/ML systems across GCP, AWS, and Azure.
GCP (Cloud Run, Cloud SQL, Cloud Storage, Cloud Scheduler, IAM, VPC networks, Vertex AI)
AWS (Airflow/MWAA, EKS, S3, ECR, SageMaker, Bedrock)
Azure (Container Apps, Azure OpenAI, App Service, Storage, Key Vault)
Big Data & Data EngineeringBuilding distributed data pipelines, warehouses, and serving stores.
Apache Spark / PySpark
Databricks
Delta Lake
SQL
PostgreSQL
MongoDB
Redis
Neo4j
Cassandra
Infrastructure & DevOpsShipping APIs, infrastructure as code, containers, CI/CD, and quality gates.
FastAPI
Pydantic
Docker
Terraform
GitHub Actions (CI/CD)
SonarCloud
TeamworkWorking in product and engineering teams with agile delivery, documentation, and automation.
Git
GitHub
Jira
Confluence
Agile/Scrum
UiPath