Summary
Cris Moya is a data scientist and AI engineer with a decade of experience turning bioinformatics and genomics roots into production-grade AI systems. He blends experimental LLM research with hands-on engineering—building data pipelines, containerized deployments (Docker/Kubernetes/Azure), and multi-agent orchestration using LangChain/LangGraph and Neo4j. Over the past six years he progressed from end-to-end KPI engines to architecting agentic systems and RAG pipelines that operationalize embeddings and vector databases. Comfortable “behind the screen,” he prioritizes reproducibility and architectural integrity, preferring internal innovation and clean code to client-facing roles. Unusually, his profile pairs deep wet-lab bioinformatics experience (QTL/eQTL, transcriptomics) with modern generative AI productionization, enabling cross-disciplinary solutions. Based in Santiago, Chile, he is driven by solving architectural puzzles and shipping robust ML/AI products.
10 years of coding experience
2 years of employment as a software developer
Engineering, Computer Science, Engineering, Computer Science at Universidad Andres Bello
Engineering, Biotechnology, Engineering, Biotechnology at Universidad Andrés Bello
English