-
🔭 I’m currently working on enterprise-grade data and AI-driven platforms at TOTVS Labs, with a focus on Spring Boot, Java, Big Data, Kubernetes, and cloud-native solutions (GCP, Pub/Sub, BigQuery, AlloyDB, etc.). I also lead initiatives around MCP (Model Context Protocol), building dynamic tool ecosystems and experimenting with multi-agent architectures.
-
🌱 I’m currently learning and deepening my knowledge in:
- MCP, A2A & Multi AI-Agents to enhance my career in AI
- Reactive Programming to scale with native backpressure and enabling virtual threads for blocking requests
-
👯 I’m looking to collaborate on:
- AI-driven SaaS platforms (especially micro SaaS ideas like wedding planning tools, vendor onboarding, and contract analysis)
- Data-intensive projects that combine distributed systems, observability, and AI
- Open-source initiatives around Spring AI, MCP, or Kubernetes
-
🧠 I’m curious/studying on my free time about:
- Exploring advanced AI/ML applications in Finance (Quant, FinTech, AI for risk modeling, payments, etc.)
- Navigating executive career paths (CTO, CDO, CIO) while staying hands-on technically
- Cross-platform app development with Kotlin Multiplatform (KMP) and Jetpack Compose
- Quantum Computing
-
💬 Ask me about:
- Java, Spring, and Cloud Architectures
- Reactive programming and concurrency challenges
- MCP, multi-agent systems, and AI integrations
- Career growth, certifications, and balancing entrepreneurship with enterprise work
-
📫 How to reach me:
⚡ Fun fact: I’m passionate about blending deep technical expertise with entrepreneurial projects, always experimenting with how AI, distributed systems, and modern cloud architectures can create impactful real-world solutions 🚀