AI Engineer. 28 years building systems.
LLMs, RAG, and automation running in production — not in a notebook. Looking for a team where decision systems graduate from prototype to something operations can lean on.
I always built systems. First with people. Then with money. Now with code.
Built with the best tools
Where I'm strong.
Systems architecture
Product and infrastructure design: clear contracts, explicit trade-offs, decisions that survive year two.
SaaS and multi-tenant platforms
Tenant isolation, versioned APIs, and internal tools the team can use without filing a ticket.
Automation and AI agents
Workflows that take manual decisions out of operations. In marketing and sales, 40 hours a week stopped being human work.
RAG and semantic search
Embeddings, vector databases, chunking, and reranking — retrieval that answers with a source instead of a hallucination.
Everything that matters. Nothing that doesn't.
Evidence before claims
Nothing is called done without an executed test and a recorded result.
No hype
No superlatives you can't verify. Numbers only when they were measured.
Life Long Learning
Learning is the method: every project starts by studying the problem and ends with something new documented.
Real metrics
Projects report numbers measured in operation, not showcase estimates.
Security by design
LGPD, consent and data protection planned before the code.
Performance first
SEO, indexing by search engines and LLMs, and fast loading.
Many industries
Finance, marketing, documents and embedded systems.
No shortcuts
Every technical decision documented and justified.
Quality you can verify. And build the next step on.
Every system I build meets the same bar: it truly works, with evidence, or it is not called done.
What I put into production.
Four projects in operation, with measured numbers. Pick one to see what it solves.
Finance Operations Platform
Multi-tenant operations platform for finance and accounting departments. 50+ companies served, 20 hours a week automated per client.
People I've worked with
What clients and partners say about the projects (original quotes in Portuguese).
“O trabalho desenvolvido uniu visão estratégica, domínio técnico e execução eficiente. As soluções foram apresentadas com clareza e sempre alinhadas às necessidades do projeto.”“Encontramos uma parceria comprometida, organizada e orientada a resultados. Todo o processo foi conduzido com transparência, agilidade e excelente comunicação.”“A capacidade de compreender o negócio e transformar desafios em soluções práticas fez toda a diferença. O resultado demonstrou qualidade técnica e atenção aos detalhes.”“Uma experiência profissional muito positiva, desde o planejamento até a entrega. Houve cuidado com a nossa identidade, nossos objetivos e a qualidade do resultado final.”Let's talk.
Open to full-time AI Engineer roles, remote. Book 30 minutes or write to me — I reply within 24 hours.
Describe your project. I reply within 24 hours with a technical proposal.
luisponciano@gmail.com
Send an emailBackground, projects and posts. Direct messages are welcome.
luishenriqueponciano
Open LinkedInLet's build it together
Digital Growth System
International consultancies: a productized growth system.
For executive coaches, advisors and consulting firms selling abroad — authority, leads and predictable revenue, not just another website.
How I work.
- 01→
Find the real problem
The brief is rarely the problem. I start by asking what breaks today and what it costs.
- 02→
Design before code
Stack, contracts, and trade-offs on the table. Disagreement is cheaper on a diagram than in a deploy.
- 03→
Ship in thin slices
Iterations that reach production and come back with real feedback, not meeting-room opinion.
- 04→
Operate what I built
Monitor, measure cost, correct. A product isn't done at launch — that's where it starts telling the truth.
Tools of the trade.
28 years in technology. Now focused on AI.
Luis Henrique Ponciano — AI Engineer. Building digital platforms and marketing technology since 1998, for SMBs, national companies, and multinationals. In 2024 I started turning toward AI Engineering; today I work as an AI Engineer at Grupo Certisign on a marketing automation platform. I'm looking for a full-time role where LLM applications, RAG, and semantic search solve a business problem rather than a demo.
- 1998–2024 · Digital Platforms01
Building systems that make sense
Digital platforms, web systems, and marketing technology for SMBs, national companies, and multinationals. What stuck: technology serves people and business, not the other way around.
- 2024–2026 · Transition to AI02
Upskilling in AI Engineering
A deliberate specialization: LLM applications, RAG, semantic search, vector databases, and system architecture. Not scattered courses — a technical foundation for the next chapter.
- 2026 · AI Engineer03
Grupo Certisign — Marketing Automation
LLMs in production, structured workflows, data modeling, tracking, and customer-facing automation at scale. Where the theory became a system with a real user on the other side.
Content, channels, and proof in public.
100+ videos on financial planning and business ideas — connected to the guides and tools on this site.
YouTube, Instagram, TikTok, and LinkedIn are the same practice: explaining a complex system to people who aren't technical. That's the skill that matters when a team needs engineering to talk to the business.
Read about the book