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Mo AlaniMA

Mo Alani

Supermalter

AI Agent | RAG | Automation | n8n | LangChain

€850/day
6 projects
Paris, FR
8-15 years

Average response time: A few days

Freelancer profile translated to English.
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About Mo

Looking for an expert in generative AI with a solid data background? Who knows how to build AI agents, chatbots, RAG, and automations?


You're in the right place.

I have 10 years of experience as a Data Scientist / Machine Learning / Generative AI / NLP expert

- I place great importance on transparency and simplification
- Daily end-of-day report on tasks performed

Generative AI Expert:

- Over 50 agentic AI and RAG projects

- Expertise in LLMs, Gemini, Claude, ChatGPT, Langchain, LangGraph, Agentic AI, n8n

Machine Learning & Data Scientist:
- Technologies: Python, PyTorch, Cloud (AWS, GCP, Azure)
- Specialization: Chatbots, NLP, Classification, Computer Vision, n8n automations
- Data science tools: Scikit-learn, Numpy, Scipy, Pandas, Plotly

Leadership:

- Led 3 teams of 15 developers in France, India, and Tunisia
- Coached 10 developers at Fnac Darty
- Freelance trainer and coach

Concrete Achievements

- Generative AI Lead at Bpifrance: Design and deployment of generative AI solutions for business units, coaching, and training, automations
- Senior ML Engineer at DigitalGenius: Scaled the company from 8 to 40 employees
- Production: REST APIs, MLOps, CI/CD, Monitoring, Kubernetes
- ROI: Automation, cost reduction, improved customer satisfaction

Custom Solutions

- Analysis of your needs and adapted AI architecture
- Quick POC and robust production deployment
- Training and skill transfer to teams
- Model and performance optimization

➡️ Contact me to accelerate your AI projects with proven solutions.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Arabic

    Native or bilingual

Can work on-site
Paris (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Toulouse (up to 50km), Lille (up to 50km)

Experience

  • Bricelière Conseil
    Malt logoOn Malt
    AI Engineer
    SOFTWARE PUBLISHING
    January 2026 - April 2026 (3 months)
    - Architecture of an AI agent for real estate search
    - Management of housing database within the agent
    - Guardrails and LLM-as-judge test scenarios
    - Observability, monitoring
    AI Agent AI Agents RAG Artificial Intelligence Automation
  • Bpifrance
    Generative AI Lead & Data Scientist
    BANKING AND INSURANCE
    September 2023 - Today (2 years and 8 months)
    Maisons-Alfort, France
    #Generative AI (LLM, RAG)

    Architecture and DevelopmentChatbot (RAG, Embeddings, Vector DB) and Generative AI solutions, AI Agents, Multi-agent systems,
    • **Technical Lead**: Data science, fine-tuning, prompt engineering, MLOps
    • **Production**: REST APIs, monitoring, CI/CD pipeline, cloud deployment
    • **Management**: 2 teams (10 dev/data scientists): code review, coaching, agile planning
    • **Technologies**: Python, PyTorch, Langchain, Langgraph, Kubernetes, AWS

    Data scientist, machine learning, LLM, Generative AI
    RAG Langchain LLM Generative AI AI Agent
  • DanMind
    Generative AI Coach
    DIGITAL AND IT
    September 2025 - Today (9 months)
    Paris, France
    I train and coach freelancers and entrepreneurs to useGenerative AIfor automating their prospecting / client acquisition.

    The course includes 4 modules:
    - Generative AI basics explained for anyone: Data science, machine learning, AI, Gen AI, Agents, MCP etc.
    - Advanced prompting
    - Market tools and LLMs: Claude, ChatGPT, Perplexity, Gemini, DeepSeek etc.
    - Automation via n8n and MCP

    I have a community of over 40 satisfied students who follow my courses and advice.
    Generative AI n8n AI Agent RAG MCP

Reviews

5.0

Out of 2 ratings

O

Olivier

Spécialiste IA - Bricelière Conseil

Reviewed on 5/18/2026

Mo accompanied us on scaling up our AI agent at Omny with valuable expertise. His contribution covered four critical areas before production deployment: observability via LangFuse on our stack, audit and rewriting of our prompts, implementation of guardrails (anti-hallucinations, out-of-scope, data leaks), and review of code and architecture. The result is very concrete: full visibility on agent performance in production, more robust prompts, and directly actionable architecture recommendations. Mo understands the specific challenges of AI agents in production and quickly identifies what truly matters. I recommend him without hesitation, especially for teams transitioning an agent from POC to production.
MaximeM

Maxime

Maxime Okoye

Reviewed on 2/27/2025

Recommendations

Luc EbertLE
Bilal QasmiBQ
Salim LaimecheSL
+3
Luc Ebert and 5 other people have recommended Mo

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Education

  • Master's degree, Big Data
    Telecom ParisTech
    2017
    Mastère spécialisé, Big Data Machine Learning Data science NLP Data engineering
  • Engineering Degree, Mathematical Engineering
    National Institute of Applied Sciences of Rouen
    2016
    Diplôme d'ingénieur, Génie Mathématique Spécialisation : Data science Machine Learning NLP

Skill set

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