Summary
Federico Pacher is a Machine Learning Engineer focused on backend systems with nine years of experience building data-driven products across startups and research environments. He blends an electronics and embedded-systems background with modern ML/data engineering—designing FastAPI backends, MySQL-powered pipelines, and production ML models for sports analytics and credit scoring. Federico has improved model accuracy and system efficiency through end-to-end pipelines and LLM work that increased response quality by 25% while streamlining workflows. Comfortable across Python, C/C++, embedded firmware, and test automation, he brings a rare mix of low-level hardware insight and scalable backend engineering. Based in Rosario, Argentina, he pairs academic research and publications with hands-on product delivery, often stepping in to add test coverage and reliability where startups move quickly.
8 years of coding experience
14 years of employment as a software developer
Electronics Engineer Information Technology, Electronics Engineer Information Technology at Universidad Nacional de Rosario
Data Science, Data Science at Henry
Postgraduate Degree Embedded Systems, Postgraduate Degree Embedded Systems at University of Buenos Aires
English, Spanish, Portuguese