Diogo Franzosi is a researcher and machine learning practitioner with 11 years of experience combining high-energy physics research and production-grade ML development. Holding a PhD in particle physics, he has built Monte Carlo simulators and precision theory tools used by CERN collaborations and translated that expertise into time-series forecasting and embedded deep-learning solutions in industry. He programs in Python, C++ and Fortran, deploys models to clusters and cloud, and has applied Temporal Fusion Transformer to real occupancy forecasting pipelines with MSSQL and Flask APIs. Diogo bridges theory and application—he integrates LLMs with scientific numerical libraries to enable natural-language querying and complex engineering workflows. Comfortable communicating complex ideas to non-specialists and working across countries, he is based in Gothenburg and prefers long-term collaborations in Sweden. An unusual strength is his track record of shipping both foundational research software for particle physics and practical ML services for commercial products.
11 years of coding experience
14 years of employment as a software developer
Master of Science - MS, High Energy Physics, Master of Science - MS, High Energy Physics at Universidade do Estado do Rio de Janeiro
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Università degli Studi di Torino
Portuguese, English, Spanish, Italian, French, German, Swedish
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