DANIEL ESTEBAN YEPES MORALES

Software Engineer with strong experience in LLM integrations, data engineering, and AI-driven systems, focused on building production-grade AI solutions for real-world use cases such as ISP support, eCommerce, and IoT platforms.
I design and implement AI assistants powered by Retrieval-Augmented Generation (RAG) (vector and hybrid search), contribute to in-house LLM frameworks (MCP-based orchestration), and build scalable multi-tenant architectures on AWS. My work emphasizes reliability, observability, and measurable business impact.
I also have hands-on experience as a Data Engineer, designing ETL/ELT pipelines, working with structured and unstructured data, and training machine learning models, including IoT-related models for monitoring, prediction, and operational optimization.
Comfortable working across the stack—from data ingestion and model training to LLM orchestration and cloud infrastructure—and collaborating with international, cross-functional teams.