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rjili houssamRH
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rjili houssam

@rjilihoussam

AI & Data engineer-in-training building industrial computer vision, RAG and MLOps solutions.

Morocco
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What I'm looking for

I want to apply AI for industrial systems—industrial computer vision, RAG and optimization—while building reliable MLOps pipelines. I’m looking for a team that values research-to-production and measurable impact on performance and cost.

I’m an AI & Data engineering student (second year) at ENSAM Meknès, specializing in industrial AI systems: Computer Vision, Multi-Agent Reinforcement Learning, RAG and MLOps. During my internship at OCP Group, I analyzed SCADA data and modeled thermal stability KPIs, then used constrained optimization (SciPy/HiGHS) to reduce formulation costs by −12% on real production cases.

Right now, I’m developing an AI-driven market intelligence project (Intilligence) with automated web scraping and orchestration (n8n), plus Power BI dashboards and a proprietary knowledge base. My technical work also includes multimodal incident management (SmartClaim AI) with RAG multi-tenant microservices, real-time face surveillance (AI Guard), and predictive OEE analytics aligned with ISO 22400. I also lead open-source contributions (OC1 on PyPI, with automated testing) and take an active role in student tech leadership (Head of AI Cell and Vice-Président Technique at Gadz’IT).

Experience

Work history, roles, and key accomplishments

OG

Stagiaire IA & Recherche Opérationnelle

OCP Group

Jul 2025 - Present (1 year 1 month)

Analyzed SCADA data and modeled thermal stability KPI for Units 107DEF. Optimized constrained formulations using SciPy/HiGHS, reducing NPK formulation costs by 12% across five real production cases.

Education

Degrees, certifications, and relevant coursework

EM

ENSAM Meknès

Ingénieur d’État, IA & Data

2024 -

Cycle Ingénieur d’État en IA & Data à l’ENSAM Meknès, axé sur deep learning, MARL, NLP, Computer Vision, RAG et MLOps.

EM

ENSAM Meknès

Cycle préparatoire, Mathematics & Physics

2022 - 2024

Cycle préparatoire Maths & Physique à l’ENSAM Meknès.

LM

Lycée Tarik Ibn Ziad, Meknès

Baccalauréat (Sciences Physiques), Physical Sciences

2022 -

Grade: Mention Très Bien

Baccalauréat en Sciences Physiques (Mention Très Bien) au Lycée Tarik Ibn Ziad, Meknès.

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