AI Systems: LLMs, Agents & Production Scale

Stop building the wrong AI platform. Let's architect the right one.

Every company wants "AI agents" or "smart chatbots" but most don't know how to build them cost-effectively, safely, and at scale. That's where early AI projects stall.

In this 60-minute deep-dive session, we'll fast-track your AI strategy:

✅ Design scalable LLM pipelines (RAG, prompt optimization, caching, vector databases)

🤖 Architect multi-agent workflows with proper orchestration (Langgraph, MCP, custom frameworks)

⚡ Optimize cloud infrastructure for AI workloads (AWS Lambda, DynamoDB, cost optimization)

🏗️ Plan microservices architecture for AI-powered features

🔧 Review your specific system design with actionable recommendations

🎯 Evaluate technology choices (ElevenLabs, LiveKit, OpenAI, AWS)

Why work with me?

I'm currently building multi-agent workflow platforms at Cloudbloom. I've architected production AI systems, integrated voice agents (TTS/STT), and deployed scalable microservices on AWS. I'll help you avoid costly mistakes and ship faster.

🎯 Come with your context; leave with a roadmap.

Perfect for founders, engineering leads, and developers building AI-powered products who need expert guidance on production architecture.