Technical Deep Dives
In-depth articles on data engineering, automation, and systems architecture. Written from production experience across healthcare, fintech, and infrastructure.
Articles
11
Total Reading
206 min
Topics
9
Revenue Leak Investigation: Medallion Architecture in Production
How a lakehouse on Apache Spark and Delta Lake diagnosed a EUR 2.1M payment gateway failure in 4 hours. Full technical walkthrough with PySpark, MinIO, and systematic root cause analysis.
The Data Leadership Playbook: Your First 100 Days
Field-tested framework for new data leaders — the decisions, relationships, and deliverables that determine success in the first 100 days.
The ROI of Data Governance: Turning Compliance into Competitive Advantage
How to measure governance impact, defend it to the board, and build a program that pays for itself in the first year.
AI Agent Architecture: From Theory to Production Multi-Agent Systems
Deep dive into reasoning engines, memory systems, tool integration, and orchestration patterns for production-grade AI agents.
Scaling Business Growth: Building Autonomous Intelligence Agents
Python, SQLite, and MLflow powering outbound intelligence across funnels.
Vietnam Flood Monitoring System
Real-time satellite feeds, interactive maps, and ML-powered predictions for disaster response planning.
Production-Grade Proxmox Infrastructure
Architecting for 99.99% uptime with consumer hardware and enterprise software.
Building a Full AI Stack on Proxmox
Self-hosted LLMs, vector stores, and agents running on enterprise hardware.
The Future of Data Engineering is Automated
Automation patterns that keep teams shipping measurable outcomes.
Geospatial Data Processing with PostGIS and GeoServer
PostGIS + GeoServer workflows for massive datasets and WMS delivery.
Cybersecurity and Ethical Hacking: A Comprehensive Guide
From CIA triad fundamentals to advanced exploitation, privilege escalation, and defense-in-depth strategies.
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I write about systems I've built and patterns I've observed in production. Always happy to trade insights with other engineers.