Summary
Jardel Cunha is an AI Engineer and researcher with 11 years of experience bridging applied machine learning and natural language processing, currently pursuing a master's in Computer Science at UFPB. He has contributed to LLM and NLP research in the Amazon region at SIDIA and developed practical ML solutions for legal tech, including prompt engineering and RAG pipelines for document classification. His work spans classification, dimensionality reduction (including diffusion maps for DataViz), text processing, and classifier evaluation, with a particular interest in the intersection of law and computing. Known for combining academic rigor with production-minded engineering, he also teaches computer architecture and has built lightweight mobile prototypes earlier in his career, reflecting a hands-on approach from research to deployed tooling.
11 years of coding experience
3 years of employment as a software developer
Mestrado em Ciências da Computação, Information Technology, Mestrado em Ciências da Computação, Information Technology at Universidade Federal da Paraíba
Bacharelado, Sistemas de Informação, Bacharelado, Sistemas de Informação at Universidade Federal do Acre