Summary
Arthur Da Paz Cristovao is an AI Engineer with 11 years of experience building deep learning systems that translate sensor and medical imaging data into actionable clinical tools. At NUTES-UEPB (EMBRAPII), he has delivered production-ready models for CT semantic segmentation, generative 3D prosthesis workflows, and predictive screening for diabetic foot via smart insoles, reducing manual effort and supporting early intervention. His end-to-end expertise spans Python, TensorFlow, PyTorch, LangChain, ETL engineering, IMU signal processing, and CI/CD-driven model deployment, and he mentors teams on testing and code quality. Currently pursuing an MSc in Health Science & Technology, he bridges clinical context and engineering rigor to ensure models are medically relevant. He also brings full-stack and iOS development experience from earlier roles, which helps him integrate embedded sensor systems through to user-facing applications. Open to high-impact AI/ML opportunities, he combines domain-focused research with practical product delivery.
11 years of coding experience
2 years of employment as a software developer
Master's degree, Science and Technology in Health, Master's degree, Science and Technology in Health at Universidade Estadual da Paraíba
English, Portuguese, Spanish