Summary
Augusto De Nevrezé is a Data Engineer with 11 years of hands-on experience building production-ready ML/AI systems, data pipelines, and lakehouse architectures across startups and large enterprises in Latin America. He combines deep expertise in model development (sklearn, TensorFlow, Keras, PyTorch), embeddings and transfer learning with strong production skills—ETLs, Glue/Lambda/Step Functions, FastAPI/Flask deployments, and migrations from legacy systems to BigQuery. His background as an electronics and satellite systems engineer gives him uncommon strength in hardware-aware problem solving and operational reliability for 24/7 services. Notably, he has driven LLM-based scraping and prompt engineering at Mercado Libre while leading end-to-end pipeline and model quality initiatives. Versatile and curious, he thrives on migrating complex pipelines, designing custom classifiers, and turning messy data into actionable, monitored products.
11 years of coding experience
10 years of employment as a software developer
Engineer's degree, Electrical, Electronics and Communications Engineering, Engineer's degree, Electrical, Electronics and Communications Engineering at Universidad Tecnológica Nacional
English, Portuguese