Summary
Rodrigo Casasola is a Machine Learning Engineer based in Málaga, Spain, with eight years of software engineering experience focused on distributed systems and optimization for model inference and training. He concentrates on LLMs and inference engines, having benchmarked grammar-based decoding across vLLM, llamacpp, and other inference stacks during a research stint at the University of Seville. Rodrigo blends practical backend skills—PostgreSQL, Python, full-stack ERP development, and VM deployment—with ML-centric engineering, now contributing to production-grade ML work at Verda. His academic background includes a Software Engineering BE and a Master in Big Data Analysis, reflecting a strong foundation in both theory and applied data systems. Known for a direct, earnest approach, he brings attention to low-level performance details that often unlock significant inference speedups.
8 years of coding experience
1 year of employment as a software developer
University of Seville
Master in Big Data Analysis, Mathematics and Computer Science, Master in Big Data Analysis, Mathematics and Computer Science at Universidad Europea
English