Software Engineer with 8+ years of experience, specialized in Machine Learning and Generative Artificial Intelligence. I combine a strong background in scalable software architecture with advanced ML techniques to build intelligent solutions applied to real-world problems.
In the last two years I have focused on designing and shipping production-ready GenAI systems: enterprise chatbots, Retrieval-Augmented Generation (RAG) platforms, multimodal document ingestion, prompt engineering, LLM integration, embeddings, vector databases and Agentic AI. At Canvia I design, build and improve a multi-tenant RAG platform serving several applications of the Central Reserve Bank of Peru, including the assistant live on its Research Portal.
I am a special student at the Graduate Program in Computer Science (PPGC) of UFRGS, applying to the Master's program, and co-author of an extended abstract on vision-language models accepted at the LatinX in CV Workshop at CVPR 2026.
My goal is to build and evaluate reliable AI systems that combine information retrieval and LLMs, applied to real-world problems.
- years building software for banking, telecom, health and education
- 8+
- years building software for banking, telecom, health and education
- Central Reserve Bank of Peru applications served by one RAG platform
- 4
- Central Reserve Bank of Peru applications served by one RAG platform
- F1 after fine-tuning a vision-language model (CVPR 2026 workshop)
- 0.19 → 0.90
- F1 after fine-tuning a vision-language model (CVPR 2026 workshop)
- AI Engineer Specialization, Diploma of Excellence
- 19/20
- AI Engineer Specialization, Diploma of Excellence
