Bruno Scholles is an AI Engineer based in Porto with eight years of experience applying computer vision, machine learning and data engineering to real-world problems across field robotics, medical imaging and environmental monitoring. He builds production-ready, multimodal pipelines—from real-time perception for agricultural robots to radiomics and VLM-driven reporting for dental and vascular diagnostics—combining CNNs, ViTs and ONNX-deployable detectors with CI/CD and containerized deployments. Bruno has led data teams, mentored junior researchers, and driven reproducible open-science projects, including public GitHub repositories that document end-to-end radiomic and forest-fire typification work. Notably, he has translated ethically governed forensic imaging datasets into high-performing diagnostic models and optimized annotation workflows with SAM to accelerate medical labeling. Constantly bridging academic rigor and field deployment, he thrives on interdisciplinary challenges that require both deep algorithms and scalable engineering.
8 years of coding experience
7 years of employment as a software developer
Master's Degree, Computer Vision, Master's Degree, Computer Vision at Faculdade de Engenharia da Universidade do Porto
Bachelor, Network Engineering, Bachelor, Network Engineering at Universidade de Brasília
Participei do desenvolvimento deste site em 2018, enquanto trabalhava na empresa Jr. EngNet.
Contributions:2 PRs, 1 push, 2 branches in 3 years 8 months
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