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.
Multimodal video feature extraction: Apple-native vs. C++/Python.
Local-first RAG stack combining BM25 and vector retrieval with on-device LLM inference.
System-design sketches and trade-offs summarizing problem statements, constraints, and architecture options.
High-performance document search and retrieval systems.
Federated learning systems without centralized data stores.
Reusable rules, heuristics, and frameworks distilled from practical projects to guide system design and implementation.
Designing immutable, hash-indexed data stores for integrity and efficiency.
Web application design using the standard 12-factor principles.