Mijo Kristo
Scale·
·Enterprise
About
AI & Ruby Engineer Engineer
Enterprise Systems
10+ Years Experience
Based in Croatia
10 years shipping data infrastructure for enterprise teams — integrations, system sync, API orchestration, and Ruby at scale. My open-source tools have 120k+ downloads.
Available for Q4 2026 engagements
AI Integration
Your product needs AI capabilities but integrating LLMs into existing enterprise infrastructure is complex — data pipelines, vector storage, and production reliability.
End-to-end AI integration into existing systems. From data pipeline setup through production deployment with monitoring.
LLM & RAG Integration
Vector Database Architecture
Data Pipeline Design
Production Monitoring & Scaling
Ideal for: Enterprise teams adding AI to existing products
Ruby & Systems
Your Rails application handles complex data flows — syncing between services, processing large datasets, managing integrations — and it's slowing down or breaking.
Performance optimization, data integration architecture, and scalability engineering for production Ruby systems.
Data Sync & Integration Architecture
Performance & Scalability Audit
API Orchestration
Database Optimization
Ideal for: Enterprise teams with complex Ruby systems
Projects
Vectra
Unified vector database client for Ruby — 80k+ downloads
semantic-cache
Cache LLM responses using semantic similarity matching. Similar questions return cached answers instantly, cutting API costs by 70% or more. Works with OpenAI, Anthropic, and Gemini.
Nooth
Neural content discovery and plagiarism detection tool
Writing
Building AI in Ruby? Stop Juggling 5 Different Vector DB Clients
One unified API for Pinecone, Qdrant, Weaviate, pgvector, and Memory. Switch providers with a single line change.
X · 2026
Why Ruby is Excellent for AI Development
Ruby gets overlooked in AI discussions, but developers who use it know it offers a unique combination of productivity and elegance that makes it an excellent choice for many AI projects.
· 2026
Semantic Caching for RubyLLM: Cut Your AI Costs by 70%
If you're using RubyLLM to build AI-powered applications in Ruby, you're already enjoying a clean, unified API across multiple providers.
· 2026