About Damien
French
Native or bilingual
English
Basic
Experience
- Dark Data Labs (indépendant)Data & AI Systems ArchitectCONSULTING AND AUDITSOctober 2024 - Today (1 year and 8 months)Limoges, FranceI 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. - Science du HitSound Engineer, Music Producer, and DAW InstructorENTERTAINMENT AND LEISUREFebruary 2013 - Today (13 years and 4 months)Limoges, France10+ 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). - DEKRAMetrology SpecialistCONSULTING AND AUDITSOctober 2006 - October 2024 (18 years)Limoges, France18 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.
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Education
- ENSAE Paris — Data Analysis Bachelor's Degree (2022-2023)ENSAE Paris2023L'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, MusicBerklee College of Music — The Art of Music Production (2017)2017La 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.