AI Engineer at IBM where I architect production-grade AI systems—from advanced RAG pipelines to autonomous agentic workflows.

Previously, one year as a Solutions Architect at Huawei gave me deep expertise in cloud architectures, which I've further validated through AWS certifications (ML Specialty, Solutions Architect Associate, AI Practitioner) and Databricks Data Engineer certification.

Currently also a Machine Learning Professor at UAX University, where I create and deliver the Machine Learning I & Machine Learning II curricula for 20+ students. With a Master's in Machine Learning & Healthcare, published research in Applied Optics (first-author), and experience leading workshops at major conferences like PyConES, I combine deep technical expertise in AI & ML and cloud infrastructure with a passion for knowledge sharing.