Skip to main content
Imane UserIU
Open to opportunities

Imane User

@imaneuser1

AI engineer building production RAG systems and GenAI evaluation frameworks for reliable, high-impact outcomes.

Belgium
Message

What I'm looking for

I’m looking for a role where I can build and evaluate GenAI systems end-to-end—RAG pipelines, LLM-as-a-judge testing, and production monitoring—while collaborating with engineers to ensure outputs are factual, relevant, and dependable.

I’m an AI Engineer focused on hands-on GenAI delivery—building RAG systems, LLM evaluation frameworks, and predictive ML models that work in production environments. I care about reliability: I validate outputs, measure quality, and iterate until models consistently meet real task requirements.

At Syensqo in Brussels, I’m currently developing an evaluation framework for GenAI systems across RAG pipelines, autonomous agents, and structured LLM outputs. I’m building systematic testing and monitoring infrastructure to support trustworthy performance over time.

Previously, I contributed to the world’s first hydrogen-powered round-the-world flight by processing 50+ technical documents and developing a RAG-based pilot assistance system for knowledge retrieval in operational contexts. I also automated 80% of travel proposal generation workflows, turning complex information into faster, usable decisions.

I’ve proven my impact through research and competitions: at the UM6P & COLAS Hackathon I designed evaluation metrics and benchmarks for RAG systems, AI agents, and structured outputs, earning 1st Place. I also achieved 62.5% accuracy on Long-Range Arena using custom attention mechanisms, and I keep pushing my curiosity through continuous learning and cross-domain collaboration.

Experience

Work history, roles, and key accomplishments

Syensqo logoSY

Climate Impulse GenAI Intern

Syensqo

Jul 2025 - Sep 2025 (2 months)

Contributed to a hydrogen-powered round-the-world flight by building a RAG-based pilot assistance system that retrieves knowledge from 50+ technical documents. Developed predictive maintenance models (LSTM/Transformer) from multi-sensor data and implemented runway crack detection with a trained ConvNeXt model alongside a PowerBI operations dashboard.

Education

Degrees, certifications, and relevant coursework

Mohammed VI Polytechnic University logoMU

Mohammed VI Polytechnic University

Engineering degree in Computer Science, Artificial Intelligence & Machine Learning

Pursuing an Engineering degree in Computer Science at Mohammed VI Polytechnic University, specializing in Artificial Intelligence & Machine Learning, expected to graduate in 2026.

Find your dream job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan