Principal AI & Data Architect · Founder of Coding4u · Quantum ML researcher at CIMATEC
I build data and AI platforms that survive contact with production — lakehouses, GenAI systems and MLOps pipelines across AWS, Azure and GCP.
- Principal consultant at Coding4u — lakehouse and multi-agent AI architectures
- MSc researcher at CIMATEC / LAQCC — quantum kernels as CFD surrogates
- Teaching AI, big data and HPC at SENAI CIMATEC
Ten years shipping data and AI. What that looks like in practice:
| Platforms from zero | Built a company's first lakehouse twice — founding the data division at an oil & gas operator (the team I hired still runs it) and standing one up for a capital-markets fintech, governance included. |
| GenAI in production | Multi-agent LLM systems shipped since 2023, before MCP or A2A existed — from a restaurant copilot as founding data scientist to a churn-prevention agent system delivered to a university network in three months. |
| AI where stakes are high | Award-winning deep learning for COVID-19 screening (98% accuracy); 5G + edge monitoring for mining safety; oil & gas asset platforms (−30% unplanned downtime). |
| Teams that outlast me | Founded Coding4u — 20+ clients, 178% average annual growth; co-founded FairGame as CTO through MVP; mentor engineers and teach AI at the graduate level. |
Fluid-dynamics simulation is expensive, and the data to train cheaper surrogate models is scarce. My MSc research at CIMATEC / LAQCC asks whether quantum kernels can learn these non-linear dynamics from small datasets, benchmarked on KUATOMU — CIMATEC's 35-qubit simulator.
Available for consulting via coding4u.tech · open to Principal / Staff conversations · LinkedIn · Email