The Empress (Di Kiseren)

Beneath the splendor of The Empress lies a quiet meditation on love, duty, and the cost of power. Franz dreams not of conquest, but of a simple life teaching his children to fish, while Sissi teaches them to ride-revealing how happiness remains rooted in simplicity. The series questions inherited duty through war, faith, and empire, asking whether lives must be sacrificed for systems larger than ourselves. Through Elisabeth, leadership is redefined as light rather than control: the responsibility to offer direction and hope in dark times. In choosing humanity over hierarchy, the series finds its deepest truth.

The Medici as a Blueprint for Data-Driven Futures

History has always been a lens for understanding the present, but for me it has become something more: a blueprint for designing better systems. As someone who works in data analytics and data engineering, I see striking parallels between Renaissance Florence and modern data platforms, especially when watching Medici: Masters of Florence and Medici: The Magnificent.

Versailles, History, and the Data-Driven Mind

As a data analytics and data engineering professional, most learning happens in front of SQL editors,
dashboards, and documentation tools. Yet some of the most valuable lessons about systems, power,
and human behavior come from an unexpected place: historical drama.

One recent example is Versailles, a three-season series about King Louis XIV and the creation
of the Palace of Versailles. The show explores how a young monarch centralizes power by relocating
the French court from Paris to Versailles, transforming a hunting lodge into a tightly controlled
system of influence, politics, and authority. It is a world of shifting alliances, hidden agendas,
poisoners, and enemies operating at every level of status and power.

The Great Flood

As a data engineer moving toward AI, I see The Great Flood as a metaphor for how we design emotion-aware systems: iterative simulations, curated memory, and clear objectives. My work in SQL-driven pipelines, data quality, and governance directly aligns with building trustworthy “emotion engines” that learn from structured experience, not noise. This intersection of analytics, simulation, and human-centered design is exactly where I aim to grow my AI career.