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Romain F.RF

Romain F.

Expert Data Scientist / Machine Learning Engineer

€800/day
4 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Romain

Expert in data science and artificial intelligence, with 12 years of experience in quantitative modeling in investment banking, I support you in transforming your data into business value.

Since 2024, I have been working as a freelancer for SMEs and large corporations to design, train, and deploy predictive and generative models tailored to their needs.

👉 I can help you with:
- **Predictive and Analytical AI**: sales or inventory forecasting, customer segmentation, recommendation systems, image recognition and segmentation.
- **Generative AI and NLP**: design of LLM applications with or without RAG, document analysis and summarization, report generation, complex task automation, fine-tuning of Transformer models (Whisper, BERT, CamemBERT).
- **MLOps & Lifecycle**: deployment of AI models, cloud deployment (GCP/AWS), containerization (Docker), orchestration (Terraform, CI/CD), integration with data ecosystems (Snowflake, PostgreSQL, vector databases).

My approach: pragmatic, robust solutions adapted to your business challenges, with a constant focus on clarity and efficiency.

Looking for an expert to accelerate your AI projects? Let's discuss your needs together.
  • French

    Native or bilingual

  • English

    Fluent

  • German

    Basic

Remote only
Primarily works remotely

Experience

  • Heaviside
    Administration Interface for a Cloud Marketing & AI Platform
    CONSULTING AND AUDITS
    June 2025 - July 2025 (1 month)
    Development of the main interface for a cloud solution using AI and automation to optimize marketing performance and reduce media cost inflation in a large insurance group.

    The mission includes:
    • **Frontend**: migration from a no-code prototype to a Next.js + Firebase application, with fluid navigation and configurable components.
    • **Infrastructure**: deployment via Terraform on Google Cloud Platform, ensuring industrialized and scalable management.
    • **Security**: integration of enterprise SSO and implementation of security and access management rules.
    Terraform Google cloud
  • BISOM
    Fine-tuning of CamemBERT & Whisper Models for Medical Dialogue Analysis
    MEDICAL
    May 2025 - May 2025
    For BISOM, I led a project focused on the automatic processing of French medical dialogues, combining speech recognition and medical entity extraction.

    Entity Extraction with CamemBERT

    I developed a Named Entity Recognition (NER) pipeline on transcriptions of emergency calls and clinical notes, targeting sensitive entities such as name, age, address, phone number, and medical history.
    • Fine-tuning CamemBERT on an annotated medical dataset
    • Use of Hugging Face Transformers
    • Deployment of the model within their Hugging Face organization
    • Production deployment via Inference Endpoints
    • Inference access via API, usable for demonstrations or product integrations
    • Integration of a fuzzy matching mechanism to improve robustness

    Speech Recognition with Whisper on Android

    In parallel, I explored the integration of Whisper.cpp into an Android application for offline transcription.
    • Tests performed with Whisper small converted to GGML format,
    • Native Android app in Kotlin, integrating Whisper.cpp inference via JNI
  • Heaviside
    Creation of an HR SaaS
    CONSULTING AND AUDITS
    February 2025 - Today (1 year and 4 months)
    I am developing an HR SaaS with Heaviside that combines AI, data science, and web technologies.

    The platform allows HR teams to generate personalized reports, score candidates using an approach combining AI and statistical models, with an anonymization process integrated into the scoring.

    Stack used: Next.js, shadcn/ui, Tailwind, Firebase, GCP, Terraform, Gemini.
    Next.js Artificial intelligence Terraform Firebase

Reviews

5.0

Out of 1 rating

C

Céline

Hiflow

Several weeks project

-

Reviewed on 5/20/2025

Romain helped us with various topics such as data science coaching, code improvement, and tool advice. Proactively, he doesn't hesitate to communicate, after our discussions, additional information or advice. He also showed great flexibility in organizing our sessions and is very responsive.

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Education

  • M2 Probability and Finance
    Université Pierre et Marie Curie
    2012
  • M2 Applied Mathematics
    Université de Lille
    2011

Skill set

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