Systems I've shipped.
Each entry represents a decision about data structure. The architecture tells the story.
Designed a modular academic system with structured data models and rule-based academic logic to support scalable advisory features.
Chose to separate advisory rules from core academic data to allow independent iteration on AI features without affecting grade management.
Implemented event-driven stock updates with database-level constraints to prevent overselling in concurrent scenarios.
Personal exploration of Go fundamentals — focused on understanding file I/O, JSON marshalling, and CLI argument parsing.
Implemented clean architecture patterns with explicit separation between domain logic and infrastructure concerns.
More systems in progress. Get in touch to discuss.