Wail ELBANI, PhD

Senior NLP Lead | AI & MLOps

Salaire / Taux journalier

Paris, France

Freelance, ouvert au CDI

Expertises

Machine LearningNLP / Natural Language ProcessingData EngineeringLLMs / Large language modelsBig DataPyTorchIAAzureDevOpsDockerPrévisionsDeep LearningReactNeo4jRESTful APIsFastAPIKafkaPostgreSQLMongoDB

Langues

Français (Maternelle)Arabe (Maternelle)Anglais (Courant)

À propos

Introduction

PhD-level AI Lead with 7+ years delivering scalable ML/NLP solutions across energy, HR tech, and telecom sectors. Expert in LLM-based systems, RAG architectures, and reinforcement learning, with proven success leading EU-wide innovation projects. I build intelligent, production-ready AI solutions on Azure Cloud, combining advanced research expertise with hands-on MLOps to drive measurable business impact.

Liens

Expérience de travail

Akkodis

mai 2022 - Présent

4 ans 6 mois

Paris, France

NLP Lead

nov. 2024 - Présent

2 ans

Paris, France

As the NLP Lead in the EU-DREAM project, I play a key role in accelerating digital innovation in the energy sector by developing AI-driven solutions to enhance accessibility and decision-making. The project aimed to bridge the gap between complex energy market information and end-users, optimizing energy management at the household and community levels.

Innovation Project Manager

mai 2022 - déc. 2024

2 ans 8 mois

Paris, France

As an Innovation Manager and Senior Data Scientist at Akkodis, I have led AI-driven projects at the intersection of Machine Learning, NLP, Reinforcement Learning, and Data Engineering, focusing on building intelligent, scalable solutions across diverse industries, including HR Tech, Energy, and Telecom. Key Areas of Expertise: - AI Innovation & Strategy: Spearheaded the development of AI-powered solutions, from conceptualization to deployment, ensuring alignment with business objectives and emerging technology trends. - NLP & LLM-based Systems: Designed Retrieval-Augmented Generation (RAG) architectures, chatbots, and AI-driven decision-making tools to enhance information accessibility and automation. - Predictive Analytics & Forecasting: Developed models for demand prediction, anomaly detection, and workforce planning, leveraging deep learning and reinforcement learning. - Cloud & MLOps: Deployed AI models on Azure Cloud, leveraging DevOps, containerization (Docker) and ML pipelines for scalable solutions. - Cross-functional Leadership: Managed multidisciplinary teams, collaborating with data engineers, software developers, and business stakeholders to drive impactful innovation.

Sorbonne Université

mars 2017 - janv. 2021

3 ans 11 mois

Paris, France

Doctorat (Ph.D)

janv. 2018 - janv. 2021

3 ans 1 mois

Paris, France

Ingénieur d’études

mars 2017 - déc. 2017

10 mois

Paris, France

Ingénieur développement

MyAppConverter LTD

janv. 2015 - août 2015

8 mois


Formation

Sorbonne Université

Ph.D, Human-Machine interaction and Machine learning

2018 - 2021

3 ans 1 mois

Institut Galilée, Université Paris 13

Master 2 (M2), Exploration informatique des données et décisionnel

2015 - 2016

1 an 2 mois

Institut National de Statistique et d'Economie Appliquée (INSEA)

Diplôme d'ingénieur, Informatique

2010 - 2014

3 ans 5 mois


Licences et certifications

Mathematics for Machine Learning Specialization.

Délivré le : mai 2026

Certifié par Coursera

Deep Learning specialization

Délivré le : nov. 2018

Certifié par Coursera

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