Ratish Jain
AI Engineer
Over the past few years, I’ve worked across API design, distributed systems, DevOps, and AI workflows, helping take products from idea to production. I enjoy solving engineering problems end-to-end—whether that involves designing system architecture, building reliable backend services, automating infrastructure, or integrating AI where it creates real value. Interests: Backend Engineering, Platform Engineering, Cloud Infrastructure, Distributed Systems, and Applied AI.
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{ Recent writing }
I write about cloud architecture, AI engineering, and the occasional deep dive when something breaks in an interesting way.
Deploying a CrewAI Multi-Agent Crew to Amazon Bedrock AgentCore
Full source for this project: https://github.com/ratishjain12/crewai-bedrock-agentcore Amazon Bedrock AgentCore is AWS's answer to a problem every team building agents eventually hits: your agent wo
Aug 16, 2026 · 7 min read
LLM Observability: A Technical Deep Dive
How do you debug an LLM application when the answer is wrong, latency suddenly spikes, or token costs explode? Traditional application monitoring isn't enough. LLM applications require a new layer of
Jul 19, 2026 · 5 min read
Voice Agent Architectures Explained: Cascading vs Native Multimodal Pipelines
Everyone wants to build “voice agents”, but that term hides two very different architectures. The first is the classic cascading pipeline: speech-to-text → LLM → text-to-speech, all coordinated by you
Jun 24, 2026 · 7 min read
{ Checkout my latest work }
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.