Pragmatic AI engineering for teams that ship
Shipping GenAI & Agents. From chaotic notebooks to production. Focused on E2E eval, fine-tuning & privacy.
Shipping GenAI & Agents. From chaotic notebooks to production. Focused on E2E eval, fine-tuning & privacy.
I’m Raphaël Hubain, an independent AI/ML engineer based in Brussels.
Lapidem.ai is my solo practice (SRL).
10+ years in applied ML across healthcare, pharma, and big tech.
Previously Senior AI/ML Engineer at Apple.
I take on a small number of engagements each year.

Production-Grade RAG: Advanced retrieval, sovereign data, latency control.
Agentic Workflows: Multi-agent orchestration & tool use.
Reliability: Deterministic outputs in non-deterministic systems.

E2E Testing: Automated evaluation pipelines (LLM-as-a-judge).
Quality Gates: Measuring hallucination, drift, and performance.
CI/CD for AI: Versioning prompts, data, and models.

Fine-tuning: Adapting open-weights models (SLMs) to your domain.
Data Management: Synthetic data generation & training set curation.
Optimization: Reducing inference costs without sacrificing quality.
Evaluation First:
If you can't measure it, you can't ship it.
Privacy by Design:
Local models & sovereign infrastructure preferences.
Systems Thinking:
Integrating AI into existing software stacks, robustly.
Tech:
Python, PyTorch, LangChain/LangGraph, vLLM, HuggingFace, AWS/GCP.
Company
Lapidem SRL
VAT: BE1029814653
Avenue Georges Lecointe 50, 1180 Uccle, Belgium
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