Summary
Simone Spagnoli is a Senior Solutions Engineer based in Milan with a decade of experience bridging machine learning research and enterprise AI solutions. With master's degrees from Delft and Pisa and hands-on expertise in deep learning, computer vision, and classical ML, he has applied models from CNNs and LSTMs to GANs across projects like audio emotion recognition and text summarization. His career includes senior presales and solution architect roles at SAS and a current position at Snowflake, where he translates complex data science into practical, deployable systems. Comfortable across TensorFlow, Keras, Scikit-Learn and OpenCV, he combines theoretical depth with pragmatic engineering to drive customer outcomes. Outside of work he pursues curiosity-driven interests from space exploration to bioinformatics and photography, reflecting a systems-minded approach beyond code. A resilient problem-solver by ethos, he’s known for investigating how things interact—technical or otherwise—to deliver better, iterated solutions.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Bristol
Informatics Industrial Engineer, Informatics Industrial Engineer at I.T.I.S. Fermi
Master's degree Data Science & Technology, Master's degree Data Science & Technology at Delft University of Technology
Master's degree Artificial Intelligence (Computer Science), Master's degree Artificial Intelligence (Computer Science) at Università di Pisa
English, Italian, French