Notes on AI Engineering
Deep dives into building production-ready systems with Small Language Models, designing robust RAG pipelines, and scaling AI infrastructure.
AI Systems Engineering
Jun 10, 20262 min read
Why Small Language Models Matter in Production
A deep dive into why enterprise AI is shifting towards specialized, privacy-first Small Language Models over massive generic APIs.
AI Infrastructure
May 22, 20262 min read
Building Multi-Tenant AI Systems
Architectural patterns for designing AI infrastructure that securely isolates tenant data while maximizing resource utilization.
RAG
Apr 15, 20262 min read
RAG vs Fine-Tuning: Choosing the Right Strategy
A comprehensive guide on when to use Retrieval-Augmented Generation versus Fine-Tuning for your AI projects.
OmniSLM
Mar 10, 20261 min read
Lessons Learned Building OmniSLM
The technical hurdles and architectural decisions behind creating an open-source Small Language Model framework.
AI Infrastructure
Feb 5, 20262 min read
Designing AI Infrastructure for Scale
How to architect backend systems capable of handling thousands of concurrent LLM inferences without melting down.