Maxence Quinet

Hi, I'm Maxence Quinet

AI & Data Specialist | Cloud Solutions Architect | 2x AWS Certified | AI/ML, Data & HPC

About Me

Crafting AI Solutions & Data pipelines

Software Developer and AI/Data Specialist, AWS Certified Solutions Architect with expertise in AI/ML innovations and scalable cloud architectures.

Background

Master's graduate in Computer Science with a specialization in Artificial Intelligence and Data. Experienced in Software Development and Data Engineering, with hands-on expertise in building scalable data pipelines and AI-driven applications. AWS Certified (Machine Learning Specialty & Solutions Architect Associate).

Languages

French

Native

English

C1

Deutsch

A1

AI & Machine Learning

Neural Networks
Deep Learning
Reinforcement Learning
Generative AI
LLM Fine-Tuning
AI Model Security
Adversarial Attacks
Causal Inference
Model Robustness

Cloud Architecture & MLOps

AWS SageMaker
Docker & Kubernetes
CloudFormation
Vector Databases
GPU Acceleration
High Performance Computing (HPC)
CI/CD
Git & GitHub Actions

Programming & Software Development

Python
Java
C# (.NET)
SQL & NoSQL
TensorFlow
PyTorch
LangChain
Hugging Face Transformers
Scikit-Learn
CUDA & cuDNN
Pandas
NumPy
Flask
REST API Design

Data Engineering, Analysis & Science

Feature Engineering
Data Cleaning & Preprocessing
ETL Pipelines
Dimensionality Reduction
Clustering & Statistical Modeling
Data Visualization (Power BI)
SQL & NoSQL Databases

Featured Projects

A selection of my recent work in full-stack development and AI/Data engineering.

Adversarial Attacks & Model Robustness

Adversarial Attacks & Model Robustness

Featured Project

🧠 Exploring the dark side of AI security. This project shows how subtle perturbations can fool even the most advanced neural networks. Includes the creation of a new black-box adversarial attack that surpasses current state-of-the-art results, and the development of 20+ adversarial methods to benchmark model robustness, highlighting the urgent need for secure and resilient machine learning systems in an AI-driven world.

PythonDLMLHigh Performance Computing (HPC)TensorFlowPyTorchKerasScikit-learnNumpyPandasMatplotlibGitHub ActionsCI/CDPower BIModel RobustnessAdversarial AttacksData Pipelines
SPARK - Satellite Image Recognition

SPARK - Satellite Image Recognition

Featured Project

🛰️ SPARK – Satellite Image Rekognition is an AI-powered system designed to detect and classify satellite imagery with high precision. By combining deep learning and computer vision, it overcomes spatial and temporal constraints to identify satellite categories in real time. This project showcases how intelligent models can transform space data into actionable insights for Earth observation and beyond.

PythonApache SparkTensorFlowYOLOMLDLComputer VisionData EngineeringData AnalysisHigh Performance Computing (HPC)Big DataModel Fine-TuningImage ClassificationGeospatial Data processingSatellite Imagery
VR Safety Fire-Training

VR Safety Fire-Training

Featured Project

🔥 VR Safety Fire-Training is an immersive simulation that digitalizes fire safety training across Europe. Built with C# and advanced tracking technologies, it integrates real-world objects, hand tracking, and interactive environments to enhance realism. This project demonstrates how virtual reality can make professional training smarter, faster, and safer through innovative technology.

C# (.NET)UnityVirtual Reality (VR)Oculus SDK / OpenXRHand TrackingObject TrackingXR DevelopmentUser Experience DesignBlenderAWS CloudData AnalysisPower BI