At MINSAIT - INDRA, I manage end-to-end GCP projects for CEMENTOS PACASMAYO’s spare parts and supplies unit. I used ML, deep learning, and AI forecasting across hundreds of items to help avoid overbuying, and built an agent that interprets maintenance needs from written plant orders.
At MAF PERU, I managed machine learning projects in GCP and Snowflake for credit customer segmentation. My lead-prioritization analysis increased credit closures by 5%, and I designed a cloud pipeline for developing and deploying machine learning models in Python.
My work also spans machine learning engineering and research. I developed models for campaign segmentation and personalization at VOOXELL for RÍMAC SEGUROS, and have published research on mechatronic systems and adaptive control alongside work on machine learning for agriculture, medical imaging, and sign language.
