Intelligent Engineering Systems

Engineering That Thinks Ahead

Most people think of engineering as building structures that last. But what if the systems we build could also learn and adapt? That’s the space I work in—where mechanical thinking meets intelligent feedback loops.

Scheduling Isn’t Just Management—It’s Optimization

During my time at Siemens Mobility, I worked on managing resources for international rolling stock projects. My role wasn’t just about spreadsheets—it was about creating real-time dashboards in Power BI, using Python and plotly.js to simulate different project scenarios. We could test, forecast, and optimize project outcomes before a single bolt was turned.

Onboard Intelligence for Remote Railways

Later, I supported the development of a diagnostics telemetry system for locomotives using an ESP32 devlopment board. The idea? Enable trains to transmit fault data even in low-connectivity regions. We simulated real-time conditions using SFTP and Linux-based hosts to prototype a robust solution. It’s the kind of engineering that makes trains more reliable—not just faster.

Smart Systems Serve People Better

For me, engineering systems with intelligence means designing tools that think. That respond. That let decision-makers act faster and more precisely. It's a blend of mechanical logic, human behavior, and machine feedback—and that's what excites me every time I write code.