Summary
Pedro Paiva is an AI/ML solution architect and senior postdoctoral fellow with 11 years of experience translating PhD-level research into production AI systems across healthcare, government, and agriculture. He designs and ships end-to-end RAG and computer vision pipelines—using LangChain, Groq, Pinecone, TensorFlow/PyTorch and multi-cloud MLOps—often delivering production-ready components within months. Notable projects include an LLM-powered grant-matching platform and real-time pose-estimation and weight-estimation systems integrated into industrial lines. He combines rigorous peer-reviewed research on fairness and explainability with hands-on system architecture, microservices, and low-latency inference engineering. Based in Calgary, he’s particularly skilled at moving prototypes to scale and blending academic rigor with practical deployment practices.
11 years of coding experience
3 years of employment as a software developer
Mestrado, Information Technology, A, Mestrado, Information Technology, A at Universidade Estadual de Campinas
PhD Visiting Student, Computer Science, PhD Visiting Student, Computer Science at University of Calgary
Bacharelado em Ciência da Computação, Visão Computacional / Computação Gráfica, Bacharelado em Ciência da Computação, Visão Computacional / Computação Gráfica at Universidade Federal de Alagoas
Técnico, Redes de Computadores, Técnico, Redes de Computadores at Instituto Federal de Educação, Ciência e Tecnologia de Alagoas - IFAL
Portuguese, English