À propos de Omar
Je suis Senior AI Engineer / Solution Architect, spécialisé dans la mise en production de solutions GenAI (LLM, RAG, systèmes agentiques) en environnements enterprise et réglementés, notamment banque/finance.
J’accompagne vos équipes de bout en bout pour passer du POC à la production : cadrage du besoin, choix d’architecture, intégration au SI, industrialisation (LLMOps/MLOps), optimisation latence/coûts, sécurité, traçabilité, tests et monitoring. Mon objectif : livrer des solutions fiables, scalables et exploitables, pas uniquement des démos.
Ce qui me différencie :
Une approche ingénierie produit (qualité, performance, maintenabilité, exploitation)
Une forte aisance dans des contextes multi-stakeholders (métier, data, engineering, sécurité, infra)
Une expertise sur les cas d’usage avancés : Agentic RAG, tool/function calling, workflows multi-agents, multimodal (texte + image/vidéo)
Projets & livrables typiques :
Assistants métiers / chatbots RAG & Agentic RAG (sources, garde-fous, évaluation)
APIs GenAI et intégration SI (FastAPI, architectures event-driven, data platforms)
Plateformes LLMOps / AI Governance : évaluation, monitoring, CI/CD, guardrails, auditabilité
Modernisation applicative assistée par GenAI : documentation, tests, refactoring/migration
Stack : Python, PyTorch, Transformers, FastAPI, LangChain/LangGraph, vLLM, FAISS, Kubernetes/OpenShift, Docker, Kafka, PostgreSQL, Linux, Git/CI-CD, APIs modèles (Mistral, OpenAI, Claude).
Si vous me partagez votre contexte et vos contraintes, je peux proposer rapidement une architecture cible et un plan de delivery (quick wins + industrialisation).
Anglais
Bilingue ou natif
Français
Bilingue ou natif
Arabe
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- IBM Consulting FranceSenior AI Engineer / Solution ArchitectBANQUE & ASSURANCESoctobre 2025 - Aujourd'hui (8 mois)Paris, France• • Leading the design and delivery of an end‑to‑end application migration and modernization offering, integrating GenAI capabilities to accelerate refactoring, documentation, testing, and modernization workflows.• • Collaborating with cross‑functional stakeholders (business, product, engineering, security, and infrastructure) to capture requirements, define target outcomes, and align the offer with enterprise constraints and priorities..• • Defined the technical architecture and reference foundations of the offer, including patterns, guardrails, and integration points for legacy and cloud‑native ecosystems.• • Technology stack: Python, LLMs (Mistral, Qwen), C/.NET, FastAPI, Pytorch, Microsoft Agentic Framework, MCP, Docker, Kubernetes, GitLab CI/CD.
- IBM Consulting FranceAI EngineerBANQUE & ASSURANCESnovembre 2022 - octobre 2025 (2 ans et 11 mois)Paris, France• • Designed and implemented an enterprise AI Governance & LLMOps platform for a large European bank addressing Model Evaluation & moni‑ toring, inference optimization, continuous deployment...etc. Defined architecture and data science methodologies, and drove adoption across AI Factory teams.• • Acted as technical lead in pre‑sales: ran discovery workshops, scoped complex deployments, built working prototypes, delivered client demos, and contributed to RFP responses. Won multiple competitive deals by demonstrating deep technical understanding and rapid execution.• • Surfaced field patterns from customer engagements to influence internal product roadmaps. Collaborated with IBM Research and watsonx product teams to shape features based on real deployment challenges and customer needs.• • Technology stack: Python, C#/.NET, Foundation Models (open‑source and proprietary), FastAPI, OpenShift, Cloud platforms, watsonx.ai/gov, vLLM, Transfomers library, Pytorch.
- IBM Consulting FranceAI EngineerBANQUE & ASSURANCESoctobre 2021 - novembre 2022 (1 an et 1 mois)Paris, FranceSMART AUTOMATiON ‑ MAJOR FRENCH BANK• • Designed and implement state of the art OCR models used to classify and extract documents of different types (identity docs, forms, con‑ tracts...etc) to automate business processes such as morgages, KYC, bank account management, international transfers.• • Lead the run and continous improvement efforts with a successful 30% performance increaseof our OCR pipelines.• • Technology stack: Python, OpenCV, Pytorch, ABBYY Flexicapture 12, BluePrism.
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Formations
- Data Science specializationINP PHELMA2021Data Science specialization
- Software EngineeringNational school For Computer Science2021Software Engineering
Certifications
- GCP Professional Data EngineerGoogle Cloud Platform2022