Python Programming - for AI/ML model development and data processing. Real-Time Task Scheduling & Monitoring - for AGV job assignment and fleet coordination. Work Order (WO) Optimization - for intelligent routing and task prioritization. Predictive Maintenance Modeling - using historical data and sensor logs. Issue Tracking Algorithms - for anomaly detection and resolution. Log Analysis & Feature Extraction - for training models and system diagnostics. TensorFlow / PyTorch - for deep learning applications. Scikit-learn / XGBoost - for classical ML approaches. Time Series Forecasting - for maintenance and usage prediction. Data Pipeline Tools (e.g., Airflow, Kafka) - for scalable data ingestion and processing. Experience with AGV or MES systems - for domain-specific insights.