Summary
Carlos Alves is a Senior Machine Learning Engineer with 10 years of experience building production-grade ML systems, currently driving ML initiatives at Zendesk from his base in Espinho, Portugal. He combines strong software engineering skills (Python, FastAPI, Ruby, Kotlin, Java) with cloud-native infrastructure expertise—designing IaC on AWS, CI/CD, Lambda, and SageMaker—to deliver scalable end-to-end pipelines using PySpark and Airflow. At Basecone he led the full lifecycle from model development to deployment, implementing MLflow-backed model registries and A/B testing frameworks to ensure robust production performance. His background includes speech-focused deep learning research and hands-on experience with data streaming, large-scale ETL, and model monitoring, making him adept at bridging research and reliable production tooling. Colleagues describe him as a proactive team player who favors pragmatic, high-quality engineering and continuous learning.
10 years of coding experience
6 years of employment as a software developer
Mestrado em Engenharia Informática e Computação, Mestrado em Engenharia Informática e Computação at Faculdade de Engenharia da Universidade do Porto
Portuguese, English, Spanish