Open to opportunities

Cristian Lopez

@cristianlopez

Message

I build production AI assistants and serverless Python backend systems.

Colombia

Message

What I'm looking for

I'm looking to build production AI applications and scalable backend systems, especially LLM, RAG, agent, serverless AWS, and observability solutions that improve reliability, cost, and operational traceability.

At ADRES, I build a production WhatsApp assistant for roughly 3,000 citizens, using LLM function calling, structured flows, and response validation for healthcare affiliation and institutional inquiries.

I've designed Python backend services with serverless, event-driven AWS patterns, Redis caching, relational databases, and observability. I also build RAG prototypes, agents, and evaluation workflows using LangChain, LangGraph, LangSmith, guardrails, and Grafana.

At EduCall, I migrated monolithic workloads to AWS Lambda and API Gateway, reducing monthly cloud spend by 52–57% while improving operational stability. My services supported student messaging, loyalty flows, and campaigns reaching nearly 18,000 users.

I've also centralized commerce data for Industries Tex Moda, reducing manual reporting by about 90%, and digitized administrative workflows at SistemasMIC, reducing manual operational effort by about 70%.

Experience

Work history, roles, and key accomplishments

Current

Applied AI / LLM Application Engineer

Current

ADRES - Administrator of Health System Resources

Aug 2024 - Present (2 years 1 month)

Built a production WhatsApp assistant serving about 3,000 citizens, integrating LLM function calling, structured flows, and response validation for healthcare affiliation and institutional inquiries. Designed Python backend services with serverless patterns, event-driven architecture, Redis caching, and relational databases to support scalable, decoupled AI communication channels.