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ilyes sais

@ilyessais

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I build production LLM, generative AI, and computer-vision systems from research through deployment.

France

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What I'm looking for

I'm seeking a full-time permanent AI/ML engineering, LLM engineering, or data scientist role, on-site, hybrid, or remote.

I've built production AI systems at IntelliGIA, including an end-to-end PDF parsing and information-extraction pipeline for unstructured legal documents.

I fine-tuned LLMs with LoRA for legal entity extraction and question answering, and developed Transformer-based NER, semantic search, RAG, and handwritten-signature detection.

At Thales cortAIx, I build LLM-driven embodied agents for multi-robot autonomy, grounding natural-language commands into coordinated actions. I also design decentralized collision avoidance and RAG-based reasoning for heterogeneous robot teams.

My work spans diffusion, flow matching, world models, computer vision, and MLOps. I've earned first place in generative floor-plan layout and reached the top six in the Hack The World(s) surgical world-model challenge.

Experience

Work history, roles, and key accomplishments

Research Intern - Embedded AI & Multi-Robot Autonomy

Thales cortAIx

Mar 2026 - Sep 2026 (6 months)

Built LLM-driven embedded agents for multi-robot autonomy in simulation, grounding natural-language commands into coordinated actions. Designed decentralized collision avoidance and RAG-based reasoning for heterogeneous robot teams.

LLM RAG VLA VLM Multi Robot Systems Simulation Python PyTorch

Data Scientist - NLP / LLM

IntelligIA

Oct 2024 - Feb 2026 (1 year 4 months)

Built an end-to-end PDF parsing and information-extraction pipeline for unstructured legal documents, deployed in production. Fine-tuned LLMs with LoRA on annotated legal data for entity extraction and question answering.

NLP LLM LoRAs BERT CamemBERT SpaCy RAG YOLOv8 Python PyTorch

Research Intern - LLMs, Knowledge Graphs, Machine Learning

LISN

Jan 2025 - Apr 2025 (3 months)

Built Knowledge-Mining-Nutrition, a tabular GAN and CVAE data-augmentation pipeline integrated with an RDF knowledge graph for the INCA 2 dietary survey. Developed nutritional classification with SHACL validation and LLM-generated personalized recommendations.

Gan CVAE Resource Description Framework (RDF)Knowledge Graphs SHACL LLM Python PyTorch

AI Engineer - Environmental Sensing

SUEZ

Apr 2024 - Sep 2024 (5 months)

Developed a multispectral-camera pollution-sensing system for wastewater networks, modeling environmental targets from optical signals. Designed field experiments and calibrated ML models for real-world conditions.

Machine Learning Computer Vision Multispectral Imaging Python PyTorch OpenCV

Education

Degrees, certifications, and relevant coursework

Université Paris-Saclay

Master of Science (M.Sc.), Data Science

2024 -

Activities and societies: Selected coursework: Advanced ML, Deep Learning, Transformers & LLMs, Computer Vision, Knowledge Graphs, Optimization.

Pursuing a Master's degree in Data Science with a focus on Artificial Intelligence and Machine Learning, covering advanced ML, deep learning, transformers, and knowledge graphs.

ENS Paris-Saclay

Master of Science (M.Sc.), Mathematics, Vision, Learning

2025 -

Activities and societies: Selected coursework: Reinforcement Learning, Deep Learning, Functional Brain Imaging & BCI, Deformable Models for Image Analysis.

Pursuing a Master's degree in Mathematics, Vision, and Learning (MVA) with a Health Track, focusing on reinforcement learning, deep learning, and medical imaging.