Summary
Mateus Furquim is a Machine Learning Engineer with 13 years of software experience spanning embedded firmware, backend systems, and DevOps consultancy, currently focused on productionizing ML at Amaris Consulting. He has a track record of improving system performance and reliability—evidenced by a 59% Python write improvement on Cassandra and pragmatic solutions for timezone/daylight-saving complexity. Comfortable across C++, Python, distributed processing and observability stacks, he bridges low-level constraints (embedded Linux, kernels) with cloud-native microservices and ML pipelines. A mentor and collaborator, he emphasizes maintainable design through DDD, SOLID principles and automation like Ansible. Based in Brasília, he brings a security-aware mindset from IDS work with unsupervised learning to pragmatic energy-consumption ML in production.
13 years of coding experience
8 years of employment as a software developer
Exchange Student, Exchange Student at University of Victoria
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Universidade de Brasília
Portuguese, English, Spanish