About

Matheus M. is a highly skilled software and industrial engineer, with over 3 years of relevant experience in the field. He graduated from the University of São Paulo with an Engineer's degree in Industrial Engineering. Matheus has a proven track record of building software for small enterprises and scaling billion-dollar businesses from early stages. He is a strong believer in good judgement and science-first approach, and he believes that tech specifics can be learned quickly. Currently, Matheus is working as an Undergraduate Research Fellow at CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico, where he is conducting research on Human-Computer Interaction for Machine Learning systems. His advisor is Professor Afonso Carlos Corrêa Fleury. Matheus has previously worked as an Intern at Google, where he helped improve the performance of the LATAM NBS teams through data analytics. He also designed the NBS lead referral system in LATAM and internal management systems with Google Apps Scripts. At Banco Itaú, Matheus worked as a Summer Intern, where he implemented a learning algorithm to find possible mistakes for self-reports of Business Complexity Points (Story Points) from the bank's many departments. He also optimized a vital batch script with dynamic programming, reducing its running time by about 85%. Matheus used Python, Analytics, Data Science, and Pandas library in this project. Matheus's education history includes an Engineer's degree in Industrial Engineering from Escola Politécnica da USP, which he completed in 2020. He also studied Physics at the University of Helsinki from 2014-2015. Matheus has a wide range of technical skills, including Software Engineering, SQL, AWS, Terraform, Python, Docker, Kafka, GCP, Backend, Infra, and Javascript. Although he is currently not looking for regular 9-5 developer opportunities, he is very happy to connect about startups or leadership positions.