Freelancer profile translated to English.

Description

Expert NLP & LLM (7+ years of experience)specialized in generative AI and language models.

Proven experience in RAG, fine-tuning, quantization, and MLOps. Combines technical expertise, clarity of results, and continuous AI monitoring.

Languages

French
Native or bilingual
English
Fluent
Greek
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

AVEC (ex Doctegestio)
Lead Data Scientist
HEALTH AND WELLNESS
July 2018 - September 2025 (7 years and 2 months)
Paris, France
Administration: domain-specific RAG systems, quantized LLMs, multi-agent APIs, fine-tuning
Medical: DPI classification (document identification, diagnosis prediction); DPI summarization (multi-document NER)
Engineering: Spark cluster for continuous learning; complete MLOps pipeline (Airflow, MLflow, Docker, Kubernetes, CI/CD)
Management: supervised a team of 5 (1 DS, 4 engineers)
Results: -80% automated processing time; > 85% accuracy
LLM Vertex AI NLP Deep Learning MLOps
Université de Nantes
Research Teacher
EDUCATION AND E-LEARNING
July 2014 - June 2016 (1 year and 11 months)
Nantes, France
Supervised practical work for "Databases" and "XML"

Operational support on Oracle environments for hands-on relational concepts.
Supervision of tasks involving advanced SQL, modeling, and schema logic.
Led workshops dedicated to XML technologies, manipulation, and validation using Oxygen XML Editor.
Methodological guidance on data structuring, transformation, and quality (XML, XSD, DTD, XSLT).
Pedagogical and technical support during sessions: troubleshooting, workflow optimization, practice harmonization.
Implemented progressive exercises and practical paths adapted to diverse skill levels.
SQL Oracle PL/SQL XML XSLT Oxygen Builder
Laboratoire LINCS
Research Engineer
TELECOMMUNICATIONS
January 2013 - July 2013 (6 months)
Paris, France
Responsible for TCP/IP traffic analysis – MPLANE project

Supervised advanced TCP/IP traffic analysis activities within the mPlane research project.
Implemented packet classification methods for network flow detection, categorization, and characterization.
Utilized Bloom Filters for optimizing occurrence detection, reducing memory usage, and high-frequency analysis.
Designed high-throughput network inspection pipelines: feature extraction, preprocessing, and aggregation.
Modèle OSI Wireshark C++ Algorithmes TCP/IP

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Certified Git Associate
GitLab University
2025
Certified Git Associate
Fellow Data Scientist / Intensive Bootcamp
Datascientest.com
2025
Fellow Data Scientist / Intensive Bootcamp

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Georges Nassopoulos

Data Scientist NLP/LLM/MLOPS

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