Data & Automation Engineer | Informatics Engineering Student
Passionate about building robust data architectures, statistical simulation engines, automated workflows, and multi-agent AI systems.

• 📊 Data Engineering & BI: Design end-to-end data pipelines, relational modeling in PostgreSQL, executive Power BI dashboards, and synthetic data generation using statistical models.
• ⚡ Backend & Automation: Architect scalable microservices with FastAPI and Django, integrate Redis caching/session layers, and build automated reporting pipelines with n8n.
• 🤖 Applied AI & Multi-Agent Systems: Develop production-ready LLM agents with real-time SSE streaming, semantic intent classification, and database querying capabilities.

flowchart LR
    subgraph Data Generation & Core
        A[Amazon Reviews '23 Dataset] --> B[Django Statistical Simulator\nZipf / Pareto / Log-Normal]
        B --> C[(Neon PostgreSQL)]
    end

    subgraph Intelligence & Automation
        C --> D[FastAPI Microservice\nRedis Memory + Multi-Agent Engine]
        C --> E[Power BI Executive Suite\nCustomer & Product Analytics]
        C --> F[n8n Automation Pipelines\nScheduled Reports & Alerts]
    end

    subgraph Clients & Frontends
        D --> G[React Portfolio / Web Widget]
        D --> H[Django Admin Analytics]
    end

• Enterprise Data Platform & Multi-Agent AI Engine: High-throughput data simulator generating mathematically coherent records under memory-bounded environments (512MB RAM optimization), paired with a multi-agent FastAPI system and administrative analytics dashboard.
• Executive Power BI Analytics Suite: End-to-end business intelligence dashboards delivering SKU profit margins, customer cohorts, and executive summaries.
• IoT Energy Telemetry Pipeline: ESP32 edge telemetry streaming real-time sensor and consumption data to Adafruit IO dashboards.
• Personal Developer Portfolio: Built with React and TailwindCSS, integrating custom AI agent widgets and interactive showcases.