Summary
Felipe Coutinho is a Data Science Specialist with a decade of experience building production-grade AI and ML solutions, currently applying LLMs and LangChain to real-time cybersecurity detection at Axur. He has designed text-to-SQL chatbots, demand-forecasting time series, and PEFT/LoRA-tuned models for clients like Dell, blending research-grade methods with pragmatic product delivery. Felipe has led small technical teams, mentored aspiring data scientists, and managed community learning programs (NPS 90), demonstrating a rare mix of technical leadership and teaching aptitude. His academic background in AI from ICMC-USP and hands-on work across finance, supply chain, and security give him a strong foundation for turning complex data problems into actionable systems. Notably, he pairs deep model tuning experience (QLoRA/LoRA) with operational skills in Python, SQL, and deployment—making him the “unicorn” data scientist who moves prototypes into production.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Universidade Federal de Viçosa
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Tennessee Technological University
Master's degree in Computer Science and Computational Mathematics Artificial Intelligence, Master's degree in Computer Science and Computational Mathematics Artificial Intelligence at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP
English, English at Tennesse Technological University – FLS International
Portuguese, English