Mouad Bouaicha | Data & AI Engineer

Get to know me

About Me

Who I Am

I'm a Data & AI Engineer with a passion for building intelligent systems that solve real-world problems. Currently completing my double degree at École Centrale de Lyon and Arts et Métiers, I specialize in machine learning, deep learning, and large language models.

My experience spans from evaluating LLM robustness through red teaming at IMT Atlantique to designing real-time BERT architectures for network alarm clustering at Orange Innovation.

Plouzané, France

Centrale Lyon & ENSAM

French, English, Arabic

Technical Skills

Programming

Python C/C++ Java JavaScript C#

AI & ML Frameworks

PyTorch TensorFlow LangChain Scikit-Learn HuggingFace

Data & Tools

MongoDB SQL Docker Git AWS

Machine Learning 95%

Deep Learning 90%

LLMs & NLP 88%

Computer Vision 85%

Where I've Worked

Experience

Oct 2025 - Jan 2026 Research Internship

LLM Safety Engineer Intern

IMT Atlantique, Brest

Evaluated LLM robustness via Red Teaming and adversarial prompting techniques. Developed unlearning methods to mitigate identified vulnerabilities.

Python HuggingFace OpenAI API Ollama

Apr 2025 - Sep 2025 R&D Internship

AI Engineer Intern

Orange Innovation, Lannion

Designed and validated a custom BERT architecture for real-time clustering of optical network alarms by root cause. Developed real-time processing pipeline.

Scientific paper & patent filing in progress

Python PyTorch MongoDB Docker

Jun 2024 - Aug 2024 Research Internship

Software Engineer Intern

Grenoble Institute of Neuroscience (INSERM)

Designed a 3D mapping method for neuronal activity on individual cortical anatomy recorded with electrode arrays. Implemented 2D/3D projection in C++/Qt.

C++ Qt 3D Visualization

My Academic Path

Education

Sep 2023 - Feb 2026

Double Degree - Computer Science

École Centrale de Lyon, France

Big Data, Computer Networks, C++ GUI, Collaborative Algorithms, Intelligent Mechatronics, Image Processing, Embedded Systems.

Sep 2019 - Jun 2023

Engineering Degree - AI & Data Science

ENSAM Morocco

Deep Learning, Machine Learning, Event-driven Programming, Industry 4.0, Databases, Electronics, Mechanics, Materials.

My Work

Featured Projects

✦ New

Document Intelligence Agent

Full-stack AI app that parses PDFs/images visually — detecting tables, figures, and text blocks with bounding boxes — then lets you chat with your document via a streaming vision LLM agent.

Python PyMuPDF FastAPI Vision LLM SSE

AI Fitness Assistant

Intelligent fitness assistant using multi-agent system for personalized training and nutrition recommendations.

Python LangChain Streamlit OpenAI

Insurance Claim Prediction

Trained XGBoost and LightGBM models with a team of 5 to predict building insurance claims at École Centrale de Lyon.

Python Scikit-learn XGBoost LightGBM

Low-Light Video Enhancement

Enhanced low-light, high-frequency videos using CNN and GAN for noise reduction at Teledyne e2v.

TensorFlow GAN MATLAB OpenCV

Confidential

RL Collaborative Fishing

Advanced reinforcement learning with DDQN and PPO for collaborative ropeless fishing task.

PyTorch Gymnasium PPO DDQN

Certifications

Machine Learning Specialization DeepLearning.AI · Coursera

Deep Learning Specialization DeepLearning.AI · Coursera

Generative Large Language Models DeepLearning.AI · Coursera

CS336 — LM from Scratch Stanford University

GAN Specialization DeepLearning.AI · Coursera

Computer Vision with Embedded ML Edge Impulse · Coursera

Fundamentals of TinyML Harvard University · edX

Retrieval Augmented Generation (RAG) DeepLearning.AI · Coursera

Challenges & Rankings

Competitions

National Robotics Competition

NRC — Hosted at EMINES, Benguerir, Morocco

On-Site 2023 🥈 2nd Place

Competed in the National Robotics Competition, securing 2nd place. Tackled a hands-on engineering challenge combining robotics, embedded systems, and real-time problem solving under time pressure.

TRACS 2024

DGSE — Hosted at CentraleSupélec, Paris, France

On-Site 2024 🔐 Intel Challenge

Participated in TRACS 2024, a prestigious inter-school challenge organized by the DGSE (French foreign intelligence). The competition covered data science, cryptanalysis, and cybersecurity — requiring both analytical and technical skills across multiple domains.

Building Claim Prediction — Challenge Data

Generali — Challenge Data, ENS Paris

Remote 2024 📊 Classification

Competed in a data science challenge hosted on Challenge Data (ENS Paris) in partnership with Generali. The goal was to predict whether a building would file at least one insurance claim during an insured period — a binary classification problem on real-world tabular insurance data.

Let's Connect

Get In Touch

Let's work together

Feel free to reach out if you have any opportunities or just want to connect!

Email mouad.bouaicha@etu.ec-lyon.fr

Phone +33 6 02 80 21 66

Location Plouzané, France

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