Summary
Lucas Cardozo is a Staff Machine Learning Engineer based in Lisbon with a decade of experience building production-ready ML systems and data platforms across healthcare and real-estate domains. He blends strong mathematical curiosity with hands-on engineering, having led ML platform work on GCP with IaC, CI/CD for models, scalable online inference on Kubernetes, and observability pipelines using BigQuery and Airflow. At QuintoAndar he progressed from engineer to staff, driving end-to-end ML solutions, while earlier roles at Dasa/Nexa combined risk modeling, simulation for hospital capacity, and deployable search and parsing prototypes. His background in computational biology gives him an uncommon edge in translating noisy, high-stakes clinical data into reliable models and infrastructure. Colleagues describe him as someone who treats model research and production engineering with equal rigor, prioritizing operational robustness as much as predictive performance.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS Pharmacy (Computational Biology), Master of Science - MS Pharmacy (Computational Biology) at USP - Universidade de São Paulo
Portuguese, English