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Olivier CavadentiOC

Olivier Cavadenti

Expert LLM | RAG & Agents AI • Python/Node | CIR

€800/day
3 projects
Morlaix, FR
8-15 years

Average response time: 1 hour

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About Olivier

Expert in Generative AI and Agentic AI

🚀 I am accredited for Research Tax Credit (CIR) by the Ministry of Higher Education and Research.

👉 My R&D services can be integrated into your CIR, allowing you to benefit from a tax credit of up to 30% of the expenses incurred.

I have been a full-stack developer since 2016, with a dual expertise: software development (Java, Kotlin, Python, Node.js, AngularJS, Vue.js) and data science (PhD in Data Mining, AI, Machine Learning, LLMs) specializing in agentic AI.

My goal: to transform your data into concrete value, thanks to the latest advances in LLMs (GPT), RAG, Agentic AI, Agent workflows, OCR, vector search, etc.

✅ What I concretely bring you:

- Rapid integration of generative AI into your existing tools

- Valuation of your documents (PDF, images, audio) via OCR, transcription, and structuring

- Intelligent search in your data (RAG, graphs, vector DB)

- Implementation of Agentic AI with the desired level of complexity: from a simple agent, to an agent workflow, to autonomous agent orchestration.

- Durable AI memories, guardrails, and response quality control

- Training your teams on modern "vibe coding" tools (Cursor, Windsurf, Claude Code, etc.)

🔧 Some mastered technologies & tools: Java, Python, NodeJS, TypeScript, Kotlin, LangChain, LangGraph, Hybrid RAG, QDrant, PgVector, RabbitMQ, Streamlit, FastAPI.

👨‍🏫 I also offer targeted training for your teams (prompt engineering, RAG, agents, LLM tools, etc.), with a strong focus on productivity without technical debt.

📬 Let's discuss your needs quickly, I'll help you bring your AI projects to life with clarity, reliability, and impact.

🔗 linkedin.com/in/oliviercavadenti
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Smartfire
    LLM & AI Agents Development
    SOFTWARE PUBLISHING
    May 2024 - September 2024 (4 months)
    LLM & AI Agents Development – I implemented high-value-added generative AI features:

    • RAG / Retrieval-Augmented Generation: real-time enrichment via internal knowledge bases or Web search.
    • Transcription & speech-to-text based on Whisper / OpenAI – multilingual pipelines & Python post-processing.
    • Function Calling: orchestration of business APIs to create autonomous AI agents (Python / Java / JS workflow).
    • LLM Consumption Monitoring: cost-latency-quality metrics, Prometheus + Grafana alerting.

    Stack: NodeJs / React / Next • OpenAI API • LangChain • Docker
  • Kuzzle
    Backend NodeJS Developer
    TECH
    April 2022 - December 2023 (1 year and 8 months)
    Montpellier, France
    Lead Backend & AI – IoT / LLM

    - Core maintainer Kuzzle (NodeJS · Redis · Elasticsearch): open-source framework design, GitHub Actions CI/CD.

    - Kuzzle Device Manager: real-time backend for managing assets & devices, ACL.

    - Client solutions: end-to-end IoT platforms for Geodis and La Poste (package tracking & supply-chain).

    Generative AI & LLM on IoT data:

    - GPT-4 multi-agent network for code generation and autonomous workflows, RAG on business corpus.

    - trajectory statistics, anomaly/diversion detection, ETA & time series prediction.

    Stack: NodeJS • Python • Redis • Elasticsearch • Docker/K8s
    Node.js Elasticsearch Python Redis Flask Spark PySpark LLM ChatGPT GPT3 FastAPI OpenAI
  • Business Geografic (Ciril GROUP)
    Research and Development Engineer
    TECH
    June 2020 - March 2022 (1 year and 10 months)
    Lyon, Auvergne-Rhône-Alpes, France
    Lead FullStack & Data-Viz – Java / JavaScript / TypeScript / Angular / Vue.js

    GeoKey Dashboards: design and development of a real-time analytics suite for the Geo platform (geospatial data exploration, KPIs, heat-maps).

    AngularJS migration → Angular 9 & Vue 3 micro-frontends: robust TypeScript code, RxJS, lazy-loading.

    Elasticsearch + PostgreSQL query engine: complex aggregations, server-side pagination.

    Dockerized CI/CD: GitLab + Jenkins pipelines, Cypress tests, multi-environment automatic deployment.

    Project tools: Git • Jira • Storybook • Figma.

    Stack: Java • JavaScript • TypeScript • AngularJS/7-9 • Vue.js • HTML5/CSS3 • Elasticsearch • PostgreSQL • Docker/K8s
    Java JavaScript AngularJS Angular SQL PostgreSQL Elasticsearch

Reviews

5.0

Out of 1 rating

M

Marc

DIGINOV

Reviewed on 5/6/2025

Great profile

Recommendations

JP
Michael BernasinskiMB
Audrey MonfougaAM
Joffrey Pelletier and 2 other people have recommended Olivier

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Education

  • PhD in Computer Science, Data Mining
    INSA Lyon - National Institute of Applied Sciences of Lyon
    2016
    Doctorat en data mining (thèse CIFRE en collaboration avec l'INSA de Lyon et la société Actemium)
  • Master's Degree in Image Processing Research
    University of Burgundy
    2013

Skill set

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