Oumayma Chtioui

AI Engineer

https://talent.gravityer.com/oumayma-chtioui

AI Engineer with less than a year in LLM & Backend Development

Elyos Digital

Key Strengths

Strong foundational knowledge in AI/ML, particularly in RAG architectures and LLM engineering.
Demonstrated ability to take end-to-end ownership of complex AI projects, including design, implementation, and evaluation.
Proficiency in building scalable ingestion and retrieval pipelines, including web crawling and vector indexing (FAISS).
Experience with observability tools (Langfuse) for debugging and performance optimization in LLM applications.
Solid understanding of microservices architecture and containerization (Docker, Docker Compose).
Practical experience with ML model evaluation metrics (F1, precision, recall) and automated RAG evaluation (RAGAS).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects cover a diverse range of technologies (ML, web development, microservices) and demonstrate a proactive approach to learning and applying new skills. The internship experience in AI/LLM engineering aligns well with the target role of an AI Engineer, indicating a clear career focus. The involvement in extracurricular activities suggests a well-rounded individual with good teamwork and leadership potential, contributing positively to team dynamics.

Soft Skills & Operational Fit

The candidate's experience in AIESEC demonstrates strong organizational, partnership management, crisis management, and teamwork skills. These are valuable for operational roles requiring collaboration and problem-solving under pressure. The C1 Advanced English Certificate indicates strong communication capabilities, which are crucial for technical roles involving documentation, team interaction, and stakeholder communication.

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Projects

Diabetes Risk Prediction Model

June 29, 2026 – Present

Built and evaluated ML models with feature engineering and performance metrics (F1, precision, recall).

Multi-Service University Platform

June 29, 2026 – Present

Architected a microservices-based system with modular services and an API Gateway. Containerized services with Docker Compose, ensuring reproducibility and simplified deployment.

Movie Finder Web Application

June 29, 2026 – Present

Built a responsive SPA with dynamic search and filtering, using React hooks for state management.

Key Strengths

Strong foundational knowledge in AI/ML, particularly in RAG architectures and LLM engineering.
Demonstrated ability to take end-to-end ownership of complex AI projects, including design, implementation, and evaluation.
Proficiency in building scalable ingestion and retrieval pipelines, including web crawling and vector indexing (FAISS).
Experience with observability tools (Langfuse) for debugging and performance optimization in LLM applications.
Solid understanding of microservices architecture and containerization (Docker, Docker Compose).
Practical experience with ML model evaluation metrics (F1, precision, recall) and automated RAG evaluation (RAGAS).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Oumayma Chtioui

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Projects

Certifications

Key Strengths

Cultural & Operational Fit