I build reliable, scalable systems at the intersection of AI, cloud infrastructure, and data engineering. Let's turn your toughest problems into shipped solutions.
Scalable APIs, microservices, and data pipelines built with Python and cloud-native tools.
End-to-end ML pipelines from data wrangling to production deployment on AWS.
Infrastructure as code, serverless patterns, and cost-optimized AWS environments.
ETL workflows, real-time streaming, and warehouse design for analytics at scale.
LLM-powered applications, retrieval-augmented generation, and intelligent automation.
I’m Cristian Najera — a software engineer who thrives at the intersection of clean architecture and pragmatic delivery. I build tools and systems that are as pleasant to maintain as they are to use.
Cristian consistently delivers elegant solutions to complex problems. His ability to bridge backend systems with polished user experiences makes him an invaluable asset to any engineering team.
— Former Engineering Lead
8+
Years experience40+
Projects delivered15M
Users impacted99%
Client satisfactionReal-time data visualization platform with machine learning insights for enterprise clients.
Retrieval-augmented generation system enabling semantic search across millions of enterprise documents.
Built a retrieval-augmented generation system on Azure AI Search that extracts page-number citations at query time — no re-indexing required — achieving 94% citation accuracy across enterprise document collections.
Built an agentic document validation system for Scoop using LangGraph and GPT-4o, achieving 97% validation accuracy through a self-critique loop and parallel batch processing.
“Design is not just what it looks like and feels like. Design is how it works.”
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