Introduction
Work Experience
Education
Technical Skills
Nolan Cacheux
Europe/Paris
French
English

Nolan Cacheux

AI & ML Engineer | High-Level Athlete - Champion
AI & ML Engineer with enterprise experience building production-ready intelligent solutions. Graduate in Computer Science & Data Science from JUNIA ISEN, I specialize in developing end-to-end machine learning pipelines that drive business value. Beyond tech, I combine athletic excellence with technical expertise as a professional Freestyle Football athlete.

Available for freelance AI/ML projects. 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)
  • Developed DAISI (Decathlon AI Suppliers Information): an AI chatbot deployed on Google Chat, providing instant answers about supplier processes, trained on internal procedures, with escalation capabilities to accountants. Estimated impact: 13,000 hours/year saved for the suppliers team.
  • Developing production-ready RAG architectures using LangChain, LangGraph, and Vertex AI Vector Search with GCP Cloud Run, Terraform IaC, and 24/7 availability with automated GDPR-compliant data cleanup and retention policies.
  • Implemented MLflow experiment tracking, LLM-as-Judge evaluation pipeline, Model Armor anti-prompt injection, and OpenTelemetry distributed tracing for full observability.
DAISI AI Assistant
LangChain
LangGraph
RAG
Gemini
Vertex AI
GCP
Cloud Run
Terraform
FastAPI
MLflow
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 Prophet, Apache Spark, and Databricks. Achieved +15% forecast accuracy improvement (MAPE) vs. previous manual process through rigorous model comparison (Prophet, XGBoost, LightGBM, Chronos-Bolt) and feature engineering (weather, holidays, lag features).
  • Implemented parallel processing with joblib and deployed models to MLflow Model Registry for production inference. Automated exports to Google Sheets for business stakeholders.
Belgium Forecast Pipeline Architecture
Prophet
Apache Spark
Databricks
MLflow
AWS S3
Airflow
GitHub Actions
Python
Beobank NV/SAMay 2023 - Aug 2023
Data Analyst/Scientist - Banking Domain (Internship)
  • Mastered Python, VerticaPy, SQL, and data processing technologies. Developed analytical dashboards and reports using Matplotlib for business intelligence and decision support.
Python
SQL
Pandas
NumPy

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
Jean Perrin High School - LambersartHigh School Diploma (Baccalauréat) (2018 - 2021)
With Highest Honors
Mathematics, Physics-Chemistry, Computer Science

Technical Skills

LLMs & GenAIBuilding production-ready LLM applications with agentic architectures, RAG pipelines, and multi-model orchestration.
LangChain
LangGraph
Groq
Llama
Gemini
OpenAI / GPT
Ollama
Transformers (HuggingFace)
RAG
Machine Learning & Data ScienceBuilding production-ready ML systems from experimentation to deployment. Specialized in time-series forecasting, NLP, and computer vision.
Python
PyTorch
TensorFlow
scikit-learn
XGBoost
LightGBM
Prophet
BERTopic
Pandas
NumPy
MLOps & OrchestrationEnd-to-end ML pipeline orchestration with experiment tracking, model versioning, and production observability.
MLflow
Vertex AI
Apache Airflow
OpenTelemetry
Vector DatabasesSpecialized databases for semantic search, RAG architectures, and similarity matching with high-dimensional embeddings.
Qdrant
Vertex AI Vector Search
FAISS
Chroma DB
Pinecone
Cloud PlatformsDesigning and deploying scalable cloud infrastructure across GCP, AWS, and Azure with serverless and containerized architectures.
GCP
Cloud Run
Cloud SQL
Cloud Storage
Cloud Scheduler
Vertex AI
AWS
S3
SageMaker
Bedrock
Azure
Container Apps
Big Data & Data EngineeringProcessing large-scale datasets with distributed computing frameworks and building robust, scalable data pipelines.
Apache Spark / PySpark
Databricks
Delta Lake
SQL
PostgreSQL
MongoDB
Redis
Neo4j
Cassandra
Backend & APIsBuilding high-performance async APIs and backend services with modern Python and Node.js frameworks.
FastAPI
NestJS
Express.js
Socket.IO
Pydantic
TypeORM
Infrastructure & DevOpsInfrastructure as code, containerization, and CI/CD pipelines for automated, reproducible deployments.
Terraform
Docker
GitHub Actions (CI/CD)
SonarCloud
Kubernetes
Helm
Frontend & Full-StackModern frontend development with React ecosystem, 3D visualization, and server-side rendering capabilities.
React.js
Next.js
TypeScript
Tailwind CSS
Three.js