Systology
My knowledge base for studying systems at scale, drawing from real-world engineering and synthesized learnings across multiple domains.
func main() {
fmt.Println("Use Cmd/Ctrl+K for search 🙏")
}
My knowledge base for studying systems at scale, drawing from real-world engineering and synthesized learnings across multiple domains.
func main() {
fmt.Println("Use Cmd/Ctrl+K for search 🙏")
}
Long-form investigations, experiments, and research notes exploring projects with methodology, findings, and next steps.
Privacy-first Gmail auditing tool for sender clustering and inbox cleanup.
Multimodal video feature extraction: Apple-native vs. C++/Python.
System-design sketches and trade-offs summarizing problem statements, constraints, and architecture options.
Unique ID generation patterns and robust distributed caching.
High-performance document search and retrieval systems.
Reusable rules, heuristics, and frameworks distilled from practical projects to guide system design and implementation.
API design, rate limiting, retries, and modular resilience.
Algorithms, performance optimization, and design patterns.