3D Data Center Inventory Software
I build software for visualizing, managing, and analyzing complex technical systems. My portfolio is led by a 3D data-center inventory application for modelling server rooms, warehouses, equipment, and spatial relationships. Explore Angular, Three.js, Python, REST APIs, SQL, Java, and blockchain projects, then choose a technical case study or try the live 3D inventory demo.
Featured Project: 3D Data Center Inventory
3D Inventory Management System is a comprehensive front-end application for creating spatial and database representations of warehouses and data centers.
How the 3D inventory project works
This project explores how a visual interface can connect physical infrastructure with structured inventory data. A developer can model server rooms, racks, and equipment, inspect objects in a 3D scene, and connect the visual representation with database records and API-driven application logic.
- Represent equipment and spatial relationships in a visual scene.
- Separate 3D rendering from inventory and application data.
- Use responsive UI patterns for technical information.
- Explore how a production system could add permissions, audit history, search, capacity data, and deployment monitoring.
The demo is a technical portfolio project, not a certified data-center management platform. Its value is showing the architecture, interface decisions, and development direction.
Technology stack
The application uses Angular 20.3+ with standalone components, Bootstrap 5.3+ for responsive interface patterns, and Three.js 163+ for 3D scene rendering. The wider portfolio combines frontend architecture, Python and Java application logic, REST APIs, SQL and NoSQL data, caching, debugging, and technical documentation.
- Frontend: Angular, standalone components, Bootstrap, responsive UI.
- 3D visualization: Three.js, scene objects, spatial navigation, and visual inspection.
- Backend and integration: Python, Java, REST APIs, and data-processing workflows.
- Data: SQL, NoSQL, caching, and inventory-oriented models.
Other Project: Forex Trading Client
Python-based trading analysis and automation toolkit for Dukascopy market data.
This project provides a technical framework for downloading, caching, analyzing, and acting on Dukascopy market data. It combines market data processing, indicator calculation, signal generation, portfolio and budget management, and dashboard-based monitoring in a single Python application.
