Mouhamadou SECK

AI Engineer

https://talent.gravityer.com/mouhamadou-seck

AI Engineer with 2+ years in RAG architectures & autonomous agents.

Key Strengths

Strong foundation in Generative AI, LLMs, and RAG architectures, directly aligning with the AI Engineer role.
Practical experience with orchestration frameworks like LangChain and LlamaIndex, and open-source models (Mistral, Llama 3).
Proficiency in vector databases (ChromaDB, Pinecone) and MLOps tools (Docker, Kubernetes, CI/CD) for industrialization.
Experience in data engineering, including complex parsing, semantic chunking, and SQL/Python for data pipelines.
Academic background in Applied Mathematics and Statistics provides a strong theoretical base for data science and AI.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's diverse project experience, ranging from academic research to industrial applications at ArcelorMittal and freelance work, indicates adaptability and a broad interest in AI applications. The focus on open-source models and scalable solutions aligns with modern AI development practices. The blend of theoretical knowledge from a Master's degree and practical application from internships and freelance projects suggests a well-rounded individual capable of contributing to various stages of AI product development.

Soft Skills & Operational Fit

The candidate's resume highlights rigor in optimization and complex algorithms, which is crucial for high-performance AI systems. Experience with data confidentiality in an industrial setting demonstrates an understanding of ethical considerations. Mentoring experience suggests good communication and pedagogical skills, beneficial for team collaboration and knowledge sharing.

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About

Ingénieur IA diplômé d'un Master en Mathématiques Appliquées, expert en conception d'architectures RAG et systèmes d'agents autonomes. Alliant la théorie statistique à l'excellence logicielle (École 42 / Boot.dev), je développe des solutions d'IA générative robustes et scalables. Mon portfolio démontre ma capacité à transformer des modèles open-source en outils de production performants. Lien Portfolio: ahmadoubseck.github.io/portfolio/

Top Skills

MLPyTorchCiCd

Education

Aix Marseille Université

Master · Mathématiques Appliquées et Statistiques - Data Science

September 1, 2023 – September 1, 2025

Aix Marseille Université

Licence · Métiers du Décisionnel et de la Statistique

September 1, 2021 – September 1, 2022

Aix Marseille Université

Licence · Mathématiques

September 1, 2018 – June 1, 2021

Experience

Bootdev

Projets Agents & LLM (Portfolio & Boot.dev)

January 1, 2026 – Present

Marseille, Provence-Alpes-Côte d'Azur, France

ArcelorMittal (RDSF)

Stagiaire Data & AI

March 1, 2025 – September 1, 2025

Fos-sur-Mer, Provence-Alpes-Côte d'Azur, France

ArcelorMittal

Alternant Data Scientist

September 1, 2023 – September 1, 2024

Fos-sur-Mer, Provence-Alpes-Côte d'Azur, France

Key Strengths

Strong foundation in Generative AI, LLMs, and RAG architectures, directly aligning with the AI Engineer role.
Practical experience with orchestration frameworks like LangChain and LlamaIndex, and open-source models (Mistral, Llama 3).
Proficiency in vector databases (ChromaDB, Pinecone) and MLOps tools (Docker, Kubernetes, CI/CD) for industrialization.
Experience in data engineering, including complex parsing, semantic chunking, and SQL/Python for data pipelines.
Academic background in Applied Mathematics and Statistics provides a strong theoretical base for data science and AI.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit