Summary
Felipe Mello is a Software Engineer specializing in Generative AI with nine years of experience applying Python and machine learning to real-world products. He has led NLP and ML initiatives at companies from healthcare to pharma, shipping tens of transformer models that power over 70 services and affect millions of users. At Cohere Health he combined research and hands-on engineering to cut model development time from months to days, introduced RAG and LoRA-based multi-modal deployment, and scaled labeling processes that justified hiring clinical labelers. His earlier work includes building GNN pipelines for biological discovery, an OpenCV image-segmentation tool for preclinical research, and a startup that used smartphone sensors for indoor mapping. Now at Meta and concurrently completing an MS in Computer Science at Georgia Tech, Felipe blends product-minded engineering with mentorship and process-driven scaling. He brings a track record of turning advanced ML techniques into pragmatic, deployable systems that reduce operational footprint and technical debt.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science in Mechanical Engineering, Bachelor of Science in Mechanical Engineering at Universidade Estadual Paulista Júlio de Mesquita Filho
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
International Student Mechanical Engineering, International Student Mechanical Engineering at University of Rhode Island
English, portuguese (brazil)