Building production-ready AI systems, agentic workflows, and enterprise integrations.

Currently pursuing an M.Sc. in Artificial Intelligence while working as an R&D Engineer designing AI products that bridge Large Language Models with enterprise software.

• 🤖 Building Agentic AI Systems and multi-agent architectures
• 🔌 Connecting enterprise software through the Model Context Protocol (MCP)
• ☁️ Designing cloud-native AI solutions on Azure and AWS
• 🏗️ Passionate about taking ideas from research → prototype → production
• 📚 Currently researching LLMs, Optimization, AI Agents and Enterprise AI

const oscar = {
    role: "Research & Development Engineer",

    education: "M.Sc. Artificial Intelligence",

    specialization: [
        "Enterprise AI",
        "Agentic Systems",
        "Generative AI",
        "Cloud Architecture"
    ],

    currentFocus: [
        "Model Context Protocol",
        "AI Agents",
        "Retrieval-Augmented Generation",
        "Enterprise Integrations"
    ],

    languages: [
        "Python",
        "TypeScript",
        "C++",
        "SQL"
    ],

    cloud: [
        "Azure",
        "AWS",
        "GCP"
    ],

    philosophy:
        "Research → Prototype → Production"
};

Production-ready AI platform that combines RAG, AI Agents and enterprise integrations for B2B sales.

Tech

Python • TypeScript • Azure • Docker • MCP

AI assistant capable of understanding business documents and interacting with SAP Business One.

Tech

Python • Azure OpenAI • SAP SDK • RAG

Agent orchestration platform using MCP to connect CRMs, databases and cloud services.

🏅 Microsoft Certified: Azure AI Fundamentals (AI-900)

Building AI that solves real business problems.