10 Engineering Pillars
Each pillar is a structured learning path taking you from fundamentals to production-grade patterns. Pick where you want to go deep.
Core Domains
The foundational skills every systems engineer needs.
Backend Systems
Build robust APIs and microservices with .NET, C#, Python, and FastAPI. Clean architecture, async processing, and production patterns.
AI Systems
End-to-end AI engineering — from LLM integration and RAG pipelines to prompt engineering and production AI systems.
Data Engineering
Design and build data pipelines that power AI systems. ETL/ELT, data modeling, and cloud-scale storage.
Frontend Engineering
Modern, responsive interfaces with React and TypeScript. Component architecture, state management, and API integration.
Cloud & DevOps
Deploy and scale systems on Azure. Containerization, CI/CD pipelines, and infrastructure as code.
Advanced Engineering
What separates senior engineers from the rest.
System Design
Architect systems that scale. Trade-off analysis, design patterns, and real-world architecture decisions.
Distributed Systems
Event-driven architecture, message queues, and async workflows for resilient, scalable systems.
Integration Engineering
Connect systems that weren't designed to talk. API design, healthcare standards (FHIR/HL7), and external integrations.
Observability & Reliability
Build systems you can trust. Logging, monitoring, tracing, and resilience patterns for production.
Security & Compliance
Secure your systems from day one. Authentication, authorization, GDPR compliance, and secure API design.