Summary
Vinicius Da Costa is a software engineer with eight years of experience now contributing to the Google Open Source Security Team after leading AI and health-data initiatives at Samsung Brasil. He combines a strong academic foundation—B.Sc. in Computer Science from Universidade de São Paulo, top of his class—with hands-on work spanning machine learning for wearable health insights, Android kernel exploit defense, and security-focused tooling. Comfortable across the stack, he has built ML models, anomaly-detection NLP systems, and low-level kernel/compiler code to harden platforms against attacks. Based in São Paulo, he blends practical research with production engineering and an active interest in open source security projects showcased via his GitHub. An interesting thread through his career is bridging device-level defenses with data-driven health applications, reflecting both breadth and depth in systems and ML.
8 years of coding experience