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Damien BihelDB

Damien Bihel

Data & AI Systems Architect - 18 years in the field

€750/day
Limoges, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Damien

Are you wasting time on tasks that should run themselves? Are you juggling 4 software programs without a clear overview of your business? Do you want to use AI but don't know where to start?

That's where I come in.

What I do
I analyze how you work, identify what wastes your time, and build the system that solves the problem. Sometimes it's AI, sometimes it's a well-designed spreadsheet, sometimes it's just common sense.

My Difference: 18 Years of Industrial Field Experience
Former DEKRA metrologist, 18 years designing processes that work in constrained environments (ISO, standards, production). I know when technology is useful and when it's a burden. 30% of my projects don't use LLMs because a well-thought-out Excel sheet is enough.

Types of Projects
- Custom CRM (not a generic SaaS to be twisted)
- Admin automation: quotes, follow-ups, document sorting, reporting
- AI agents that search your technical documentation in seconds
- Data dashboards to track margins, clients, production
- Integrations between your tools (Airtable, NocoDB, Zoho, HubSpot, Notion)
- AI Literacy Training (AI Act compliance, mandatory since February 2025)

My Method
1. 30-minute coffee chat or video call. I ask questions about your daily work.
2. I diagnose and tell you the truth, even if it costs me a deal.
3. I quote the diagnosis and implementation separately. You see what you're paying for.
4. I build, I train, and I remain available for follow-up.

Technical Stack
Python, SQL, PostgreSQL, Django, Next.js, LangChain, Claude API, OpenAI, n8n, Airtable, NocoDB, Zoho, HubSpot.

Who I Work For
Freelancers who want to reclaim time spent on admin. SMEs who want to leverage their data without starting over. IT service companies and CIOs looking for white-label AI expertise.

Based in Limoges. Remote across France, in-person in Nouvelle-Aquitaine.
  • French

    Native or bilingual

  • English

    Basic

Can work on-site
Limoges (up to 50km)

Experience

  • Dark Data Labs (indépendant)
    Data & AI Systems Architect
    CONSULTING AND AUDITS
    October 2024 - Today (1 year and 8 months)
    Limoges, France
    I assist freelancers, SMEs, and firms in designing custom AI systems, AI agents, and data pipelines. My method: process diagnosis, targeted architecture, implementation, and team transfer.

    What I build:
    • Business AI agents that search your technical documentation, standards, or contracts in seconds (RAG, embeddings, semantic search).
    • Sales support AI agents: lead qualification, drafting follow-ups, meeting summaries, CRM enrichment.
    • AI-driven admin process automation (document sorting, data extraction, quote generation, reporting).
    • Custom CRM and ERP with integrated AI modules (anonymization, scoring, recommendations).
    • AI Agent Training

    Recent Projects:
    • Custom CRM for executive coaching firms, with AI anonymization of sensitive data, 3 users, multi-role.
    • Training ERP for professional development organizations (BPF, funder acknowledgment, Excel migration, AI assistants for data entry).
    • Multi-brand e-commerce CRM on Zoho Enterprise with Blueprint pipeline, Shopify and Ringover integrations, AI lead scoring.
    • AI automation of admin processes for independent consultants: intelligent follow-ups, document sorting, automatic reporting.

    My Difference: 18 years of industrial field experience at DEKRA before transitioning to AI. I know when an AI agent provides real value and when a simple spreadsheet is sufficient. 30% of my projects do not use LLMs because I sell the right solution, not the trendiest one.

    AI Stack: Claude API, OpenAI, LangChain, RAG, embeddings, autonomous AI agents, fine-tuning.

    Data and Dev Stack: Python, SQL, PostgreSQL, Django, Next.js, n8n, Airtable, NocoDB, Zoho, HubSpot.
    Generative AI Business Process Automation Data Engineering Python AI Agent
  • Science du Hit
    Sound Engineer, Music Producer, and DAW Instructor
    ENTERTAINMENT AND LEISURE
    February 2013 - Today (13 years and 4 months)
    Limoges, France
    10+ years of independent activity in music production, sound engineering, and Music Production training (MAO).

    What I do:
    • Music Production: composition, arrangement, artistic direction, and recording for independent artists and labels.
    • Sound Engineering: recording, mixing, mastering, audio restoration. Work on analog and digital signal processing chains.
    • MAO Training: coaching musicians and producers on digital production workflows, DAWs, plugins, and hybrid studios.

    Why it's relevant to my current data and AI projects:
    • 10+ years of signal processing chains translated to data pipelines (capture, cleaning, transformation, analysis, delivery). Both fields share the same logic.
    • The critical ear of a mixer translates to data auditing: identifying artifacts, imbalances, and noise that pollute analysis or model training.
    • MAO training pedagogy has taught me to simplify technical concepts for non-specialist audiences. Useful when explaining an AI agent to an SME manager who has never touched a model.

    Today, this activity remains active in parallel with my core business: designing custom AI and data systems (see Dark Data Labs).
    Music Production Audio Mixing Audio Mastering Sound Engineer Training
  • DEKRA
    Metrology Specialist
    CONSULTING AND AUDITS
    October 2006 - October 2024 (18 years)
    Limoges, France
    18 years building and maintaining measurement processes in constrained industrial environments. This role taught me the rigor that makes a difference in my current AI and data projects: diagnosing system failures, documenting uncertainties, and designing solutions that withstand COFRAC audits.

    Responsibilities:
    • Calibration and verification of measuring equipment on industrial lines: pressure, electricity, tensile and compression force, anemometry, tachymetry, temperature, gas and combustion analysis.
    • Estimation and propagation of measurement uncertainties on calibration lines. Statistical data analysis.
    • Optimization of calibration frequencies through historical data analysis (OPPERET method). Reduction of over-quality and quantifiable productivity gains.
    • Writing technical documentation for COFRAC audits, compliance with NF ISO 17025 standard.
    • Designing structured data entry forms and visualization workflows in the DECA park management software.

    What I learned for my current activity:
    • A good system is designed, not improvised.
    • The right diagnosis comes before choosing the tool.
    • The metrological reflex: measure before deciding, document after building.
    • Zero tolerance for unnecessary complexity.

    This is why 30% of my AI projects do not use LLMs: when a well-designed spreadsheet is sufficient, I sell a spreadsheet. When an AI agent is needed, I build an AI agent. In both cases, I know why.
    Data Analysis Quality Management Metrology Technical Writing Continuous Improvement

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Education

  • ENSAE Paris — Data Analysis Bachelor's Degree (2022-2023)
    ENSAE Paris
    2023
    L'art de transformer des données brutes en décisions éclairées. Méthodes avancées d'analyse de données, modélisation statistique, visualisation et communication de résultats. Formation qui a fait la charnière entre mes 18 ans de métrologie industrielle chez DEKRA et mon activité actuelle d'architecte systèmes data et IA. Compétences clés : analyse de données, statistiques, data science, machine learning, visualisation de données.
  • The Art of Music Production, Music
    Berklee College of Music — The Art of Music Production (2017)
    2017
    La science derrière la création d'un son qui marque. Niveau 95,2 %. Plutôt que de simplement "produire", cette formation m'a appris à concevoir une chaîne de traitement du signal de bout en bout : capture, arrangement, mixage, mastering. Les mêmes principes d'ingénierie que j'applique aujourd'hui à la conception de pipelines data et d'agents IA. Compétences clés : ingénierie du son, traitement du signal, production musicale, architecture de chaînes de traitement.

Skill set

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