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Mohamed AkaarirMA

Mohamed Akaarir

Supermalter

AI Engineer | Agentic AI | Guardrails | RAG

€900/day
4 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mohamed

Lead Developer & Generative AI Expert with over 10 years of experience in designing, industrializing, and deploying software solutions and intelligent agents. I combine deep technical expertise (Python, C/C++, JS/TS, React, FastAPI, Docker, Kubernetes) with advanced mastery of generative AI and multi-agent workflows (LangChain, LangGraph, hybrid RAG, vector DBs, PII guardrails, Whisper, TTS).

Key achievements:

  • Development of real-time AI platforms (multi-agent, RAG, secure chatbots) deployed on-prem and cloud.
  • Technical lead on strategic projects (Renault, Orange, Sephora, Indigo Retail), including computer vision, GNSS sensor fusion, and automated customer service.
  • Architect and developer of several innovative generative AI-based solutions such as QuickResolve (multi-agent customer service), AI Coach (sports & nutrition), and an AI newsletter generation platform.
  • Proven experience in DevOps & CI/CD (GitLab, Ansible, Observability via Prometheus/Grafana/Langfuse).

My approach: pragmatic, results and quality-oriented, with a strong privacy-by-design culture (GDPR) and proximity leadership (mentoring, pair-programming, sharing best practices).

Based in France, I undertake freelance missions remotely or on-site.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Arabic

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • AXA Group Operations
    AI Engineer Lead
    BANKING AND INSURANCE
    November 2025 - Today (8 months)
    Paris, France
    Design and deployment of security, evaluation, and governance solutions for generative AI and agentic applications, from defining the reference framework to multi-cloud production integration, including leading the internal technical community.

    • Architecture of an enterprise GenAI gateway unifying AWS Bedrock, Azure OpenAI, and GCP Vertex AI behind a common layer of security, evaluation, and observability, serving as an organizational standard for LLM and agentic deployments.
    • Automated evaluation framework for LLMs and agentic systems: adversarial test suites (prompt injection, indirect injection, jailbreaks, data exfiltration, memory poisoning) integrated into MLOps pipelines via Docker and CI/CD on Azure, AWS, and GCP.
    • Vendor-neutral guardrails taxonomy (7 canonical controls: prompt injection, jailbreak, task adherence, PII detection, hallucination grounding, topic & scope, citation faithfulness) mapped to the native services of the three clouds and OWASP ASI Top 10.
    • Secure multi-agent architecture: Guardrail patterns for LangGraph systems with MCP servers and A2A bus (Kafka/Redis); cloud coverage matrix and explicit mitigations for boundaries not covered by native services.
    • Agentic governance: reference Agent Card schema for the internal AI agent registry; critical analysis of agent lifecycle (A2A/MCP, prompt drift, HITL vs HOTL).
    • EU AI Act compliance: co-drafting AI governance standards with Security and Compliance teams; defining measurable model risk indicators.
    • Leading the AI Engineering community: designing and leading the AgentOps workshop series (agent lifecycle, trigger taxonomy, nested Ops stack, registry, best practices).
    Red Team LLM AI Agent Guardrails Python
  • Chaners
    GenAI Engineer
    TECH
    January 2024 - October 2025 (1 year and 9 months)
    Orsay, France
    Design and deployment of generative AI and autonomous agent solutions, covering the entire back-end → front-end cycle: FastAPI/Docker microservices, industrial RAG pipelines, automated CI/CD, and production observability.

    Flagship projects:

    QuickResolve– Microservices RAG Platform (Architect & Full-Stack Lead)
    • Complete ingestion and search chain: multi-format parsing (Docling), PII anonymization, chunking, Gemini embeddings, Qdrant vector storage, contextual chat.
    • Stack: FastAPI (microservices), MinIO (S3), PostgreSQL, Next.js/React front-end, GitHub Actions CI/CD.
    • Modular services: ingestion, orchestration, PII redaction, embeddings, conversational agent, parsing, data-generator.

    AI Newsletter Generator– AI Newsletter Generator (AI Engineer & Full-Stack Lead)
    • Automated writing with OpenAI API / LLaMA coupled with real-time search (SERP / Perplexity).
    • Hybrid RAG pipeline (Solr BM25 + dense embeddings + Qdrant).
    • Stack: OpenAI API, LangChain, FastAPI, Next.js, Python.

    TheMeetingReport– Intelligent Meeting Transcriber (AI Engineer & Full-Stack Lead)
    • Multi-speaker transcription & diarization with Whisper.
    • Summaries and action generation via LangChain + LLMs.
    • Advanced observability: end-to-end tracing with OpenTelemetry.
    • Stack: Whisper, LangChain, FastAPI, PostgreSQL, Python.
    RAG LangGraph Python Qdrant FastAPI
  • GeoFlex
    Software Engineer
    TECH
    January 2019 - December 2023 (4 years and 11 months)
    Massy, France
    Managed the development of a real-time GNSS platform and critical software solutions for the automotive and telecommunications industries. Responsible for microservices architecture, CI/CD pipeline, and cloud & edge deployment (Docker/Kubernetes).

    Flagship projects

    Real-time GNSS Platform(Lead Dev & Architect)

    • Design and industrialization of a high-precision GNSS correction platform.
    • Python/C++ microservices, FastAPI APIs, Docker/Kubernetes containerization, Prometheus → Grafana observability.
    • Robust CI/CD pipeline under GitLab CI: automated tests, integration, deployments.

    Renault Project– Sensor Fusion & GNSS Post-processing (Backend Lead Dev)

    • Development of containerized Python/Flask & C++ modules for GNSS processing + real-time sensor fusion (ROS node).
    • Post-processing automation, mentoring a front-end intern.
    • Results: scalable platform integrated into the Renault chain, successful knowledge transfer.

    Orange Project– Real-time GNSS Calculation on Cloud (Lead Dev & K8s Integrator)

    • Migration of GNSS calculation to the Orange Business cloud.
    • Kubernetes integration, monitoring scripts (latency/costs), technical presentations to BUs.
    • Results: validated architecture, controlled latency, cross-team adoption.

    Impact

    • Reduction of GNSS processing latency.
    • Deployment of scalable, observable solutions compliant with industry standards.
    • Technical leadership: code reviews, mentoring, dissemination of DevOps and ROS best practices.
    Python Redis Microservices GitlabCI Grafana

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Education

  • Master 2
    Aix-Marseille University
    2016
    Commmerce en Instrumentation Scientifique
  • Master 1
    Paul Sabatier University
    2015
    Electronique des systémes embarqués et télécommunications

Skill set

Categories