Aleksandar Stankovik

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Freelancer Overview

With over 20 years as a Supply Chain and Operations Leader in high-stakes environments, including managing logistics, inventory, and critical spares for multi-billion-dollar EPC projects in energy, chemicals, and scientific research (e.g., the $800M Advanced Photon Source Upgrade at Argonne National Laboratory), I bring unparalleled domain expertise in production-level logistics data. I have extensive hands-on experience with real-world operational data schemas, including shipment lifecycles, timestamp dependencies (e.g., Gate-In → Customs Release → Vessel Loading → Actual Departure), inventory tracking via Kanban systems, risk registers for critical spares, and analytics for material availability, delivery forecasting, and process optimization. This deep familiarity with production databases, ERP/TMS/WMS integrations, and complex workflows (global freight, warehouse management, order fulfillment, shutdown planning) enables me to identify realistic vs. synthetic data anomalies, validate schemas for operational accuracy, and contribute to high-quality AI training/evaluation datasets that reflect true industry complexities.What sets me apart is my proven track record in ensuring 100% on-time material availability, zero installation delays, and risk mitigation through data-driven insights — such as baselining risk registers, modernizing work order systems for AI-enabled analytics, and coordinating multi-phase projects with precise event sequencing and compliance (DOE standards, customs, hazardous materials). Holding a BS in Business Administration, Six Sigma Green Belt, and multilingual capabilities (English native, plus Balkan languages), I excel at translating operational realities into structured, reliable data annotations or prompts. I am eager to apply this expertise to AI training data roles, particularly in logistics/supply chain domains, where domain knowledge is critical for creating benchmark-grade, realistic datasets.

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