Long-form tutorials and engineering notes on .NET, React, AI/ML, and SaaS architecture.
OnPush, trackBy, lazy loading, Signals, and standalone components — the Angular 19 performance playbook with real production metrics from Mattrx.
Webpack Module Federation vs Native Federation, independent deployments, versioning shared deps — the Angular micro frontends playbook from Mattrx.
Signals model state, RxJS models events over time — when to use each, performance numbers, and the interop pattern that uses both at the right boundary.
Core, Shared, Feature modules + Nx monorepo — the enterprise Angular layout that survives 4 apps, 20 libs, 5 teams. Real project + production metrics.
LLMs from first principles: tokenization, embeddings, RoPE, self-attention, multi-head, nanoGPT, pretraining, SFT, LoRA, QLoRA, DPO, vLLM serving.
The MLOps playbook: deploying models (REST/batch/streaming), versioning + registry + CI/CD, drift monitoring, cloud strategies, and a full end-to-end app.
How Mattrx swapped its Python ML service for ML.NET — regression, classification, and clustering trained in C#, in-process, no PhD required.
Full C# RAG chatbot: Semantic Kernel + Azure AI Search hybrid + reranker + streaming + tenant security. Mattrx Help: 4% hallucination, 91% recall.
Agentic vs Traditional RAG in .NET — when each wins, full Semantic Kernel code, the router that saved Mattrx $10,900/month on AI bills.
A system design walkthrough of YouTube: resumable upload, the transcoding pipeline, blob storage, CDN delivery, and adaptive bitrate streaming at scale.
A system design walkthrough of Uber: geospatial indexing (geohash/quadtree/H3), finding nearby drivers, rider matching, live location, and surge pricing.
A system design walkthrough of a payment system: idempotency, the double-entry ledger, exactly-once processing, and reconciliation with the provider.