Summary
Miguel Peixoto is a Founding Machine Learning Engineer with 8 years of experience at the intersection of physics, quantum computing and applied AI, currently building predictive products at a startup in Portugal. He has led multidisciplinary teams as an AI Architect and within Bosch’s competitive R&D rotation, shipping embedded multimodal ML, computer vision factory systems scaled across facilities, and end-to-end GenAI interfaces. His research background in High Energy Physics and Quantum Machine Learning produced published benchmarking work and production-ready tooling that combined Pennylane/Qiskit with PyTorch and robust CI/CD practices. Comfortable moving projects from prototyping to firmware and cloud deployment, he excels at translating scientific rigor into practical, production-grade solutions. Notably, he combines deep domain expertise in QML with hands-on engineering—writing parallelized Python modules, CI pipelines and user-facing NLP tools—bridging research and product impact.
8 years of coding experience
6 years of employment as a software developer
Master's degree Information Physics - Quantum Computing, Master's degree Information Physics - Quantum Computing at Universidade do Minho
Portuguese, English, French, Spanish