Freelancer profile translated to English.
Back to original languageAbout Saber
Pharma and biotech companies generate massive volumes of unstructured data (publications, patents, preclinical data, regulatory data) without being able to leverage it effectively. I help them transform this data into decisions through AI.
PhD Neuroscience, Doctor of Pharmacy, Master of Computer Science, certified Azure AI Engineer. 12+ years at the interface of electrophysiology, data science, and software engineering in a regulated environment.
Concrete results in an industrial context:
- Automation of preclinical study reports by multi-model AI agents, reducing production time by 70%
- Cloud platform for electrophysiological analysis with embedded deep learning
- RAG pipeline for scientific intelligence connected to publications and FDA/EMA guidelines
- LangGraph multi-agent systems (vision, writing, automated validation) for document automation
Stack: Python, LangChain, LangGraph, FastAPI, RAG, multi-LLM orchestration (GPT, Claude, Gemini), Azure AI, Azure AI Search, PostgreSQL pgvector
Sectors: pharma, biotech, medtech, preclinical research, medical devices
French
Native or bilingual
English
Native or bilingual
Can work on-site
Aix-en-Provence (up to 50km)
Experience
- SG AI SOLUTIONSFounder & AI ConsultantCONSULTING AND AUDITSFebruary 2026 - Today (6 months)Aix-en-Provence, FranceEnd-to-end AI consulting and deployment for SMEs, biotech startups, and pharmaceutical laboratories.From strategic audit (process mapping, high ROI leverage identification) to production deployment.Areas of intervention: multi-model AI agents, RAG pipelines, document automation, full-stack applications with embedded AI, AI Act compliance.Target clients: CROs, biotechs, pharma, medtech. Pricing by package or monthly retainer.
- Neuroservices-allianceCorporate IT & AI Strategy ManagerBIOTECHApril 2024 - Today (2 years and 4 months)Le Puy-Sainte-Réparade, FranceDesign and deployment of a unified cloud platform for electrophysiological data analysis. Development of AI agents to automate analytical tasks, document research, and internal report generation. Implementation of MLOps standards to ensure quality, traceability, and compliance.
- Neuroservices-allianceLead Data Scientist & Software EngineerBIOTECHApril 2019 - April 2024 (5 years)Le Puy-Sainte-Réparade, FranceLead Data Scientist & Software Engineer specializing in electrophysiology. Development of tools for Patch and MEA analysis, implementation of advanced neural signal processing algorithms, deep learning solutions for neural signal characterization. Technical supervision and management of international R&D projects.
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Education
- PhD in NeuroscienceUniversity of Bordeaux2024Doctorat en Neurosciences
- Master CCI Computer ScienceAix-Marseille University2014Master CCI Informatique, Computer Science
Certifications
- Microsoft Certified: Azure AI Engineer AssociateMicrosoft