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Building ML/AI products for Business
From data pipelines to serving.
From prototype to production.
ML Engineer at Deloitte AI & Data · 5+ yrs in production ML, MLOps & LLM/RAG · based in Lisbon, open to opportunities
Open to ML engineering roles
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Portuguese food & wine RAG guide — Qdrant, GPT-4o, eval harness, Docker Compose.
Result: shipped end-to-end RAG app with offline eval harness ✅
GitHub analytics platform — Terraform, GCS, BigQuery, Bruin, Cloud Run + CI/CD.
Result: infra-as-code analytics lakehouse, fully CI/CD'd
Premier League prediction — FastAPI, MLflow, Prefect, Grafana.
Result: 61.8% accuracy, tracked in MLflow, live Grafana dashboards
Next-hour bike demand — Kedro, CatBoost, Dash dashboard, Dockerised.
Result: reproducible Kedro pipeline + interactive Dash dashboard
2024 — Present
Deloitte · AI & Data
Tech Consultant → Tech Senior · SageMaker, RAG, Databricks, MCP+SAP
2024
Le Wagon · Instructor
7 cohorts EDA → deployment, Demo Days
2026 ✅
LLM Zoomcamp — Completed
RAG food & wine guide: Qdrant, GPT-4o, eval
Active
ML Engineer · Lisbon
Open to ML/MLOps roles — see CV below
Type repo name, description, or language.
ML Engineer (Deloitte AI & Data) shipping end-to-end systems? Start here.
Open to ML/MLOps engineering roles — grab the CV or start a conversation.
