Abdullah Zeeshan

Building backend systems and algorithms for automated 3D electrical routing and CAD analysis within the Foundational Technologies research group. Developing a routing backend that places components and routes cables inside constrained control cabinet layouts, exposed through REST APIs using FastAPI, Pydantic, and SQLAlchemy with PostgreSQL. Implementing graph based path planning for multi cable routing, including harness bundling, voltage category separation, and deterministic post processing to prevent

Completed a 20 week internship across three connected projects in digital engineering automation. Built a CAD skeleton extraction pipeline that converts STEP files into simplified skeleton graphs for structural analysis, solving difficult voxelization and stability problems by adopting OpenVDB for sparse volumetric representation. Developed the initial 3D electrical routing backend for automated component placement and cable routing in control cabinets, exposed through REST APIs. Researched and implem

Supported logistics and retail operations teams for both Adidas and Reebok under a shared operations system, digitizing workflows through Python automation to improve supply chain efficiency. Conducted in depth analysis of sales and inventory trends using time series forecasting with Prophet. Developed Python based dashboards to visualize key supply chain metrics, supporting management decision making across both brands.