Summary
Matheus Neto is an AI engineer with nine years of experience building generative AI systems, intelligent chatbots, and serverless architectures that simplify complex financial workflows. He has led product and engineering teams from early-stage founding at Base39 to scaling mission-critical credit decision platforms that processed over USD 100M in transactions. Comfortable across Python, AWS, containerization and LangGraph, he combines hands-on model fine-tuning with cloud-native design to deliver scalable, low-latency solutions. Early research work democratizing physics labs via IoT reflects his knack for pragmatic, cost-saving engineering that expands access. He writes about technical challenges and trends, and actively seeks emerging technologies that can translate into market transformation.
10 years of coding experience
4 years of employment as a software developer
Technician, Computer Support Specialist, Technician, Computer Support Specialist at Instituto Federal do Triângulo Mineiro
Bachelor's degree, Sistemas de Informação, Bachelor's degree, Sistemas de Informação at Universidade Federal de Uberlândia - UFU
Portuguese, Spanish, English