Microsoft Certified Professional with 8+ years of experience delivering complex, mission-critical systems for the financial market — market data, market risk, credit/transfer pricing, and capitalization. Specialist in .NET, Python and Node.js, with 3+ years in DevOps and a strong track record on Azure. Experienced leading international teams and driving scalable, resilient architectures from inception to production.
const gabriel = {
role: "AI Solutions Architect @ BDS DataSolution",
focus: ["Agentic AI", "MCP", "AI Harness Engineering", "Cloud-Native Architecture"],
learning: "Deep Learning Architectures — CNNs, RNNs & Transformers",
languages: { portuguese: "native", english: "B2 - Intermediate" },
funFact: "Turns messy financial data into intelligent, scalable systems"
};
- 🔭 Currently developing orchestrator AI agents and Agentic AI / MCP solutions for the financial market
- 🏗️ 5+ years leading cloud architecture practice — TOGAF, DDD & the Azure Well-Architected Framework
- 👯 Open to collaborating on AI agent and applied LLM projects
- 🌱 Learning MCP in depth and researching Deep Learning architectures
- 💬 Ask me about Azure architecture, LLM/RAG pipelines, or scaling financial-market data platforms
Languages & Frameworks
Cloud & DevOps
Data & Streaming
| Impact | Detail |
|---|---|
| ⚡ 99.83% latency reduction | Fund Quotation APIs — enabled acquisition of 4 key B2B enterprise clients |
| ✅ 100% Well-Architected compliance | Mission-Critical & SaaS workloads on Azure |
| 💰 ~11% cloud cost reduction | Custom logging/monitoring & sampling strategy |
| 💰 12.33% infra cost reduction | Migration to Azure Container Apps |
| 📈 NPS 75–100 | Sustained across all products under ownership |
| 🧪 100% test automation coverage | Across all API features, with automated CI/CD quality gates |
ReachUp — an indoor navigation app for the visually impaired, built as a volunteer project to make everyday spaces more accessible.
