Data & AI Architect — 15+ years building financial data systems.
I work at the intersection of structured knowledge, modern AI retrieval, and financial data infrastructure.
- Knowledge retrieval systems — combining RDF triplestores, probabilistic logic (ProbLog), and vector search (pgvector) to build retrieval that handles both explicit relationships and semantic similarity.
- Macro-financial data infrastructure — collecting and analyzing inflation expectations, central bank credibility metrics, and macro indicators across 45+ emerging market countries. Live dashboard →
- Data platform tooling — Dagster pipelines, DuckDB/Polars for local-first analytics, ClickHouse for time-series, all running on a 6-machine homelab (Proxmox + Docker Swarm).
Python (15+ yrs) · Dagster · Polars · DuckDB · ClickHouse · FastAPI · PostgreSQL · pgvector · RDF/SPARQL · ProbLog · Docker · Proxmox · Rust (learning)
I share engineering lessons and observations on LinkedIn and X.
Consulting inquiries: [email protected]