Executive Summary
Senior AI Engineer with extensive experience designing, deploying, and maintaining production-grade machine learning and deep learning solutions. Expertise spans large language model integration, distributed model serving, and robust MLOps architectures across industrial and enterprise environments. Dedicated to mentoring engineering talent and aligning rigorous AI research with reliable system reliability.
Professional Experience
Novacore Analytics
Lyon, France
Lead AI Engineer
Mar 2022 – Present
- Direct architecture and deployment of enterprise generative AI and retrieval-augmented generation (RAG) platforms serving 40,000 internal daily queries.
- Established continuous evaluation and guardrail monitoring for open-source large language models, reducing hallucination rates in production by 28%.
- Guide a cross-functional team of 6 machine learning engineers and data engineers, instituting code review standards and MLOps release pipelines.
- Cut inference latency by 35% across core microservices through model quantization and vLLM serving optimization on self-hosted GPU clusters.
Rhône Vision Systems
Lyon, France
Senior Machine Learning Engineer
Sept 2017 – Feb 2022
- Engineered automated computer vision inspection pipelines using PyTorch and TensorRT, processing 120 images per second on industrial edge devices.
- Deployed automated model retraining workflows on Kubeflow, reducing manual dataset tagging and retraining cycles from three weeks to four days.
- Spearheaded model containerization and cloud orchestration on AWS, achieving 99.95% system uptime across five manufacturing sites.
Aventis Data Labs
Grenoble, France
Machine Learning Engineer
Feb 2013 – Aug 2017
- Built predictive maintenance algorithms utilizing gradient boosted trees and recurrent neural networks for industrial telemetry streams.
- Collaborated with embedded software engineers to package predictive models into C++ shared libraries for low-power edge gateways.
- Implemented centralized data validation checks using Apache Spark, ensuring high data fidelity across 500+ sensor data streams.
Education
INSA Lyon
Master of Science · Computer Science and Applied Mathematics · Villeurbanne, France · Mention Très Bien · Sept 2003 – Jun 2008
Specialized in machine learning, statistical modelling, and distributed computing systems. Completed a graduation thesis on high-dimensional data clustering.
Selected Projects
BenchTransformer Framework
May 2023 – Jan 2024
- Authored an open-source inference benchmarking harness for transformer models on hybrid CPU/GPU hardware, gaining over 600 GitHub stars.
- Implemented automated latency profiling and memory tracking across Hugging Face transformer architectures.
Technical Skills
Python
PyTorch
TensorFlow
MLOps
Docker & Kubernetes
Large Language Models
Retrieval-Augmented Generation (RAG)
Model Optimization & Quantization
Kubeflow
C++
CI/CD for Machine Learning
Languages
French
C2
English
C1
Certifications
Machine Learning Engineering for Production (MLOps) Specialization
DeepLearning.AI · Apr 2024
AWS Certified Machine Learning - Specialty
Amazon Web Services · Nov 2023
Community & Volunteering
Lyon AI Community Group
Lyon, France · Jan 2021 – Present
- Technical Meetup Organizer
- Organize quarterly technical meetups and deliver workshops on deep learning fundamentals and MLOps practices for local engineers and students.