Warehouse Optimization
Strategic analysis of picking routes resulting in 15% efficiency gain in theoretical models.
Building scalable solutions for complex supply chains using SAP-EWM, Deep Learning, and Automation.
Warehouse logistics & supply chain optimization. Customizing standard processes for enterprise efficiency.
Deep learning models, algorithmic analysis, and visualizing complex datasets for actionable insights.
Streamlining workflows with n8n, Python scripting, and system integrations to reduce manual effort.
Polyglot development in Java, C++, C#, and Python. Building robust tools and microservices.
Strategic analysis of picking routes resulting in 15% efficiency gain in theoretical models.
Deep learning model using historical data to predict stock levels and alert procurement.
Complex n8n automation that detects API failures and attempts auto-remediation.
How graph algorithms can be applied to physical warehouse layouts to reduce travel time and improve picker efficiency.
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