Summary
Daniel Costa is a backend-focused software engineer with eight years of practical experience, currently building scalable Node.js and NestJS services and optimizing PostgreSQL schemas for a mobile product at Winflue. As a Computer Engineering undergrad, he blends backend engineering with data work—writing Python data pipelines and applying ML techniques from prior research in medical computer vision and repository-mining studies. He’s experienced in REST API design, authentication, FCM push notifications, Docker workflows, and TypeORM-driven database integrations. Notably, his research on color spaces for glomerular lesion classifiers and code-anomaly mining informs a data-aware approach to backend design and product improvements. Based in Bahia, Brazil, he pairs hands-on implementation skills with a curiosity for turning analysis into actionable features.
8 years of coding experience
Undergraduate, Computer Engineering Bachelor, Undergraduate, Computer Engineering Bachelor at Universidade Estadual de Feira de Santana