π Electronic Systems Engineer | Industrial AI & Automation | Prescriptive Maintenance
I bridge industrial automation with modern AI, building systems that run 100% on-premise for manufacturing and energy sectors.
Currently developing prescriptive maintenance platforms using local LLMs, knowledge graphs, and real-time sensor integration.
AI & ML: Python, Ollama, RAG systems, LangChain, Neo4j, FastAPI
Industrial: PLCs, Modbus, Vibration/Ultrasound sensors, SCADA integration
Automation: n8n, Node-RED, Docker, Proxmox, Linux servers
Business Systems: SAP Business One, Contpaq, custom API integrations
Data: PostgreSQL, InfluxDB, Grafana, pandas
πΉ Prescriptive Maintenance with Local AI
On-premise system using GPU inference, Neo4j knowledge graphs, and autonomous agents that detect anomalies, diagnose failures, and auto-generate work orders integrated with SAP PM.
πΉ Industrial RAG System
PDF extraction pipeline for technical manuals (Ducati capacitors, Danfoss drives) with intelligent chunking, table extraction, and semantic search using Ollama embeddings.
πΉ n8n Business Automation
Complex workflows: SPEI mass payments, automated financial reporting, supplier data extraction with AI, Google Merchant Center feeds, WhatsApp integrations.
πΉ Safety Stock Optimization
FastSafetyStocks algorithm for electrical supply inventory: demand forecasting, BOM explosion, multi-period purchase planning.
- Local AI deployments (zero cloud dependency)
- Knowledge graphs for industrial assets
- Sensor-to-decision automation pipelines
- ERP/MES integration (SAP, custom systems)
π Monterrey, Mexico
π MEDEX Graduate - IPADE Business School
π LinkedIn
π§ ggarza@ael.mx
Building intelligent systems at the intersection of industrial operations and AI.
