Summary
Paulo Alves is a data scientist and versatile software engineer with nine years of experience building end-to-end ML systems that span deep learning, data engineering, mobile, and backend integration. He specializes in image, audio, and text processing—designing and deploying transformers, CNNs, multimodal document readers, and lightweight on-device models using ONNX/TFLite. At Raro Labs he delivered production-grade solutions across cloud and on-premise environments with MLOps, LangChain/RAG pipelines, and active learning tooling, while earlier roles grounded him in Android, Flutter, Rust, TypeScript, and full‑stack development. Paulo pairs practical deployment experience (SageMaker, Kubernetes, MLflow, W&B) with a curious, research-minded approach informed by coursework in bioinformatics and interests in functional languages, type systems, and compilers. Colleagues rely on him to turn complex business problems into automated, cost-saving AI services and to prototype fast, demonstrable PoCs for stakeholders.
8 years of coding experience
3 years of employment as a software developer
Bacharelado em Engenharia da Computação, Bacharelado em Engenharia da Computação at Universidade Estadual de Ponta Grossa
Mestrado, Bioinformatics, Incomplete (covid-19), Mestrado, Bioinformatics, Incomplete (covid-19) at Universidade Federal do Paraná
English, Portuguese