06.08.2026 aktualisiert
100 % verfügbar
AI Consultant & Builder — from Strategy to Production
Geneve, Schweiz
Schweiz +1
MS Data Analytics & Artificial Intelligence, EDHEC Lille (2019–2020) info: Schweiz, Frankreich
Über mich
J'accompagne les PME et ETI sur toute la chaîne : acculturation et formation des équipes, cadrage de la stratégie IA, puis build et mise en production; agents, serveurs MCP, RAG documentaire, applications métier. Dix ans de data analytics en grande tech, aujourd'hui builder.
Skills
dbtAutomatic Data Processing EquipmentAPIsKünstliche IntelligenzBusiness Intelligence DevelopmentMachine LearningMessaging Application Programming InterfaceMicrosoft Business IntelligenceAzure Machine LearningNext.jsOpenapiBusiness Intelligence Development StudioSQL Server Business IntelligenceGenerative AIMachine Learning Operations
AI Agents & MCP Development
Design and deployment of tool-equipped autonomous agents, internal MCP (Model Context Protocol) servers, and multi-agent orchestration using Claude API, Anthropic SDK, Vercel AI SDK, OpenRouter, LangChain, and LLMOps frameworks including evaluation, guardrails, prompt injection prevention, and pseudonymisation.
RAG & Document Extraction
Building RAG pipelines with ingestion, pgvector, and GDPR pseudonymisation before any LLM call, enabling document-level querying and automated extraction from accounting ledgers, financial reports, and exam scripts.
Full-Stack AI Application Development
End-to-end development of line-of-business micro-apps using Next.js, React, Supabase (PostgreSQL, RLS, Realtime), Prisma, TypeScript, Tailwind, Clerk, Stripe, Vercel, Docker, Vitest, and Playwright — from scoping to production in weeks.
Data Analytics & Machine Learning
Ten years of experience in data analytics at big tech and scale-ups, including ML pricing solutions, predictive customer lifetime value models, revenue management automation, and machine-learning performance tracking tools.
Large-Scale Data Scraping & ETL Pipelines
Building and industrialising scraping pipelines processing billions of data points across industries, combined with ETL pipeline design and data warehousing using Python, FastAPI, Pydantic, SQL, Looker, Tableau, Power BI, and Metabase.
API Integration & Automation
Automation of business-tool synchronisation using Python, OpenAPI 3, n8n, and OAuth2, enabling CRM syncs with internal tools, indexing of API endpoints, and generation of n8n nodes on demand.
AI Training, Audit & Team Enablement
Team enablement, AI use-case mapping, diagnosis, and prioritisation for SMEs and mid-market companies, including Claude Code rollout, Agent Skills deployment, governance, and guardrails setup.
Vision AI & Multi-Model Pipelines
Implementation of vision AI applications using Next.js, pdf-lib, OpenRouter with multi-model fallback chains (Gemini 2.5 Flash, Qwen2.5-VL, Claude) for automated exam marking and document processing.
Product Scoping & Spec Writing
End-to-end product scoping, specification writing, and delivery management for AI-native platforms, CRM tools, and financial analysis products under regulatory constraints (FINMA, AMF, GDPR, MiFID II).
Design and deployment of tool-equipped autonomous agents, internal MCP (Model Context Protocol) servers, and multi-agent orchestration using Claude API, Anthropic SDK, Vercel AI SDK, OpenRouter, LangChain, and LLMOps frameworks including evaluation, guardrails, prompt injection prevention, and pseudonymisation.
RAG & Document Extraction
Building RAG pipelines with ingestion, pgvector, and GDPR pseudonymisation before any LLM call, enabling document-level querying and automated extraction from accounting ledgers, financial reports, and exam scripts.
Full-Stack AI Application Development
End-to-end development of line-of-business micro-apps using Next.js, React, Supabase (PostgreSQL, RLS, Realtime), Prisma, TypeScript, Tailwind, Clerk, Stripe, Vercel, Docker, Vitest, and Playwright — from scoping to production in weeks.
Data Analytics & Machine Learning
Ten years of experience in data analytics at big tech and scale-ups, including ML pricing solutions, predictive customer lifetime value models, revenue management automation, and machine-learning performance tracking tools.
Large-Scale Data Scraping & ETL Pipelines
Building and industrialising scraping pipelines processing billions of data points across industries, combined with ETL pipeline design and data warehousing using Python, FastAPI, Pydantic, SQL, Looker, Tableau, Power BI, and Metabase.
API Integration & Automation
Automation of business-tool synchronisation using Python, OpenAPI 3, n8n, and OAuth2, enabling CRM syncs with internal tools, indexing of API endpoints, and generation of n8n nodes on demand.
AI Training, Audit & Team Enablement
Team enablement, AI use-case mapping, diagnosis, and prioritisation for SMEs and mid-market companies, including Claude Code rollout, Agent Skills deployment, governance, and guardrails setup.
Vision AI & Multi-Model Pipelines
Implementation of vision AI applications using Next.js, pdf-lib, OpenRouter with multi-model fallback chains (Gemini 2.5 Flash, Qwen2.5-VL, Claude) for automated exam marking and document processing.
Product Scoping & Spec Writing
End-to-end product scoping, specification writing, and delivery management for AI-native platforms, CRM tools, and financial analysis products under regulatory constraints (FINMA, AMF, GDPR, MiFID II).
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2024
Sprachen
EnglischverhandlungssicherFranzösischMutterspracheSpanischGrundkenntnisse
Projekthistorie
Consultancy and AI build studio taking SMEs and mid-market companies from AI intent to production. 5 engagements delivered and 12 clients served across family office, energy retrofit, education, and accounting sectors. Designed an AI-native platform for a Geneva family office with 12 modules in production in 270 hours over 35 days under FINMA/AMF/GDPR constraints. Published FinPilot, an automated financial-analysis product for accounting firms with 4 users in testing. Earned 5 Anthropic certifications in 2026 including Claude Code, Agent Skills, and internal MCP servers.
Led ML pricing solutions covering 30% of group revenue, i.e. $16bn. Built and industrialised scraping pipelines processing billions of data points across the industry. Owned strategic data products for the executive committee.
Predictive customer lifetime value models and revenue management automation.