Thoughts, tutorials, and deep-dives into AI systems architecture.
A technical breakdown of how VaidyaOS uses offline-first design, Edge AI, and local inference for privacy-preserving healthcare assistance.
How AgriSence combines image analysis, weather context, and multilingual AI advisory workflows for smarter crop disease detection.
A practical guide to packaging compact GGUF models for local inference with better latency, privacy, and offline reliability.
A systems-level overview of multi-agent AI architecture, orchestration, queues, retrieval, and production reliability patterns.
How Balaraj R built healthcare AI, agriculture AI, and multi-agent systems while studying at PES University.
Running LLMs locally changes the game for privacy and latency in medical triage.
Lessons learned building a 32-microservice architecture for CareerLens.