Principal Manager of Artificial Intelligence,
Gireve, France.
9/2013 -
{ Led European projects for developing domain-specific AI in electric vehicle charging and
European common data spaces in transport and energy sectors.
{ Led the knowledge graph architecture and semantic data modeling for electric vehicle
charging networks, ensuring scalable and efficient data interoperability between charging
point operators.
{ Drove the semantic layer architecture and strategy for integrating knowledge graphs in
large-scale projects related to energy and mobility.
{ Led the cloudification of the entire semantic data management process on Google Cloud
Platform (GCP), including the transformation of raw data into semantic data with Apache
NiFi, and implemented storage solutions in GraphDB, ensuring scalable and efficient data
handling and enhancing data retrieval, query capabilities and decision-making.
{ Developed and maintained Python scripts for data processing, analysis, and automation of
workflows, collaborating with cross-functional teams to integrate semantic data solutions
into existing systems and applications.
{ Ensured data integrity and consistency throughout the cloud migration and transformation
processes.
{ Monitored AI trends impacting Gireve&rsquos data services.
{ Integrated Gireve teams with past projects.
{ Framed and supervised data scientists in developing short- and medium-term recharge
forecasting algorithms.
{ Contributed to research project portfolio in Data domain, directly engaging in setup and
execution.
{ Collaborated with universities, research centers, and other companies in applied AI within
mobility domain like Telecom ParisTech, CEA, Fortum, etc.
{ Organized knowledge-sharing sessions, presentations, and workshops for disseminating AI
advancements.
{ Contributed to knowledge dissemination through publications, conference presentations,
and industry events.
{ Influenced AI standardization efforts in electric mobility sector through research activities
(e.g., semantic modeling of the electromobility domain).
{ Writing of activity reports and documents related to R&D work.
{ Authored a scientific paper on electromobility in the energy data space, contributing to
industry knowledge and best practices.
Manager on Artificial Intelligence,
Engie, France.
3/2018 - 8/2023
{ Expert on Explainable Artificial Intelligence, Linked Data, Natural Language Processing
(NLP), Semantic Web, Machine Learning and Deep Learning.
{ Enhance the use of Web Semantics (ontologies and taxonomies) by bridging NLP, Deep
learning, Machine learning, Multi-agent Systems and Blockchain.
{ Model complex domains such as energy systems and building infrastructures using ontologies and linked data/ Inference and Reasoning.
{ Apply taxonomy improvement methods to enhance knowledge retrieval and association of
large datasets.
{ Create ontologies and knowledge graphs to support urban infrastructure management,
transforming design and O&M phases through enhanced data modeling (e.g., street lighting
and energy contracts).
{ Led the development of a domain-specific ontology to improve the structural learning of
probabilistic graphical models in renewable energy projects.
{ Expertise in storing, querying, and managing large-scale knowledge graphs using technologies like Neptune and GraphDB, RDF(S), and SPARQL, ensuring scalability and efficient
data management.
{ Understanding business needs.
{ Management and analysis of heterogeneous data.
{ Implement innovative solutions (POCs) for different application areas i.e. buildings,
electricity, HVAC, gas, IoT, etc.
{ Steering of several projects related to the energy context (Buildings, Wind Turbines,
Lighting, Roads, Heating, Ventilation and Air Conditioning, etc.).
{ Project management in agile method.
{ Collaborative initiatives with CSAI team members by creating brainstorming sessions.
{ Collaboration with academics (Marne-la-vallée, Saint-Etienne, Epita, Paris Descartes,
Dauphine).
{ Supervision of interns and PhD students.
{ Production of publications for national and international conferences (see below).
{ Writing of activity reports and documents related to R&D work.
{ Outreach of the laboratory CSAI in national and international conferences the workshop
of DL4NLP at EGC conference, the workshop DeepOntoNLP at ESWC conference, the
workshop OnUCAI (Ontology Uses and Contribution to Artificial Intelligence) at KR
conference.
{ Participation and communication: Webinars, Lectures (team/laboratory meetings), Participation and organization of workshops in conferences.
{ Participation in the European project H2020 Platoon (*******
project/id/872592) - Lead of work-packages and Coordinator of the project, the EUproject Enershare (*******)
Senior Expert on Artificial intelligence,
Storyzy (ex-Trooclick), Paris, France.
6/2013 - 2/2018
Storyzy has developed (1) a search engine that finds news quotes from publisher&rsquos articles on
any topic, and (2) a robot that is able to automatically identify every new fake news site.
Storyzy&rsquos solutions are powered by artificial intelligence and natural language processing
(NLP).
{ Implement innovative solutions to solve problems related to the semantic analysis of
citations in press articles in real time.
{ Enrichment of the Storyzy citation search engine to improve service quality
{ Design and develop semantic knowledge graphs to enrich content, improve classification,
and optimize relationships between news articles utilizing logic similar to taxonomies and
category association, for better accuracy in news content analysis.
{ Expertise in storing, querying, and managing large knowledge graphs using RDF(S), OWL,
and SPARQL, optimizing data retrieval and enhancing the semantic search capabilities
for enriched news insights.
{ Implement solutions to check the accuracy of quotes and detect fake news sites.
{ Project management with a team of linguists and data scientists: semantic classification
of documents, co-reference resolution, integration of deep learning models to solve NLP
problems, mapping between several semantic resources, approach evaluation protocol,
automatic text summarization, sentiment analysis, etc.
{ Extraction of information from text documents
{ Supervision of trainees (4 trainees)
{ Control and validation of the results delivered via data consistency and non-regression
testing tools
{ Writing technical documents
Technologies and platforms:
{ Big Data Technologies: Spark, NoSQL Database (MongoDB), Akka, ElasticSearch, Hadoop,
Hive, Machine Learning techniques, classification, clustering, recommendation systems.
{ Semantic Web Technologies: Protégé, Onto-Map, Virtuoso, Jena, RDFlib, RDF(S), OWL,
SKOS, SPARQL 1.1 federated query, ontologies, taxonomies, SHACL
{ NLP Technologies: NLTK, JateToolkit, Stanford CoreNLP, Nooj, Gate, Named Entity
Recognition, Treetagger, dependency relationship extraction, information extraction, text
generation
{ Programming languages: Java, Python
{ Other techniques: Framework Spring, Redis, RabbitMQ, Jenkins, Maven, SVN, Git
PhD thesis in computer science,
IPN-Laboratoire Informatique Paris Nord.
9/2009 - 5/2013
Definition and development of an automatic method for domain cartography construction
from heterogeneous semantic resources, as part of a European project Quaero (budget 99
millions euros).
{ Plateforms and technologies: Java, JRules, RDF(S), OWL, SKOS, UML, SPARQL,
Apache, Virtuoso, DbpediaSpotlight, Neo4j, Eclipse, Protégé, Corese, Treetagger, Gate,
Neon, Watson, Swoogle
{ Participation and communication: international and national conferences, plenary
sessions, doctoral and scientific training, activity reports, presentations in English, organisation of and participation in national conferences (TAL 2009, IC 2012, FOIS 2012),
collaboration with industrial partners (TexMex, Exalead, Jouve, Technicolor)
{ Management: Master&rsquos degree trainees
Trainer
Institut de Galilée, University of Paris 13.
2009 - 2012
Teaching (bachelor, engineer, master 1) of courses, tutorials and practical work in java
programming, C/C++, Data Warehousing, Algorithms, Imperative Programming and Data
Structures, Knowledge Representation, Semantic Web, Mathematical Logic.
Research engineer/Master 2 internship,
LIPN-Laboratoire Informatique Paris Nord.
3/2009 - 9/2009
Research topic: Development of an application to evaluate available ontologies on the web
by building a comparative evaluation protocol
Plateforms and technologies: Java, RDF, >OWL, SKOS, SPARQL, Corese, Jena,
JDOM, Semantic Web Search engine, Eclipse programming IDE, Protege, TreeTagger
(morpho-syntactic tagger), YateA (term extractor).
Plateforms and technologies: J2EE, EJB3, XML, UML, Eclipse, JBOSS, Tomcat,
PostgreSQL, Merise, PowerAMC.
Designer and Developer,
Caisse Nationale de Retraite et de Prévoyance Sociale (CNRPS).
6/2007 - 9/2007
Topic: Development of an affiliate document management system using Alfresco.
Plateformes et technologies: Java, XML, Eclipse, GED (electronic document management system)
Designer and Developer,
IDEAL MARITIME .
6/2006 - 9/2006
Topic: Development of an application for the import and export of various products such
as dates and oranges.
Plateforms and technologies: VB, Oracle
Designer and Developer,
Caisse Nationale de Retraite et de Prévoyance Sociale (CNRPS).
6/2005 - 8/2005
Topic: Development of an application for managing workflows of documents transfering
from one department to another.
Plateforms and technologies: Java, Eclipse, OCR, Oracle