Summary
Luis Perdigao is a Senior Data Scientist with over a decade of experience blending deep learning, scientific software engineering, and hands-on nanoscience research. He builds custom multi-modal agentic frameworks and volumetric imaging tools (napari plugins like Redlionfish, Okapi-EM and LeopardGecko) using Python and PyTorch, and holds certifications in Hugging Face Agents and NVIDIA deep learning pipelines. His background as a physicist and experimentalist—PhD-level scanning probe microscopy and instrument construction—gives him rare end-to-end expertise from UHV hardware to model training and deployment. He has shipped scientific open-source tools across PyPI and conda-forge and has applied agentic and parallel-processing ideas to content-generation pipelines at Elemental Compute. Comfortable in multiple languages including C++ and VB.NET, he combines strong problem-solving instincts with practical experience in 2D/3D segmentation, visualization, and optimization of multi-modal AI workflows. Based in Royal Leamington Spa, he frequently bridges academic rigor and production-ready ML engineering in interdisciplinary teams.
11 years of coding experience
21 years of employment as a software developer
BsC Physics, BsC Physics at University of Lisbon
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Birmingham