Giovanni Battista Pollam
Data Scientist / ML Engineer @ sell & pick GmbH
Germany
Munich
Hospitality
SQL, Microsoft Power BI, Statistical Modeling, Generalized Linear Models, XGBoost, Research Skills, Mathematics, TensorFlow, Artificial Neural Networks, Quantization, TinyML, pybind11, CMake, Statistics, Machine Learning, Deep Learning, Data Science, Artificial Intelligence (AI), Bayesian statistics, C++
Experience
Data Scientist / ML Engineer
sell & pick GmbH
Munich, Bavaria, Germany
Pricing Actuary Kfz
HDI Group
Hannover, Lower Saxony, Germany
Student Researcher on On-Device Neural Networks Training
STMicroelectronics
Agrate Brianza, Lombardy, Italy
Internship at the Applied Mathematics team. I designed a novel solution that allows Deep Neural Networks to be trained on low-memory devices by combining reversible layers with an appropriate quantization scheme. I also implemented a Python framework, based on TensorFlow Keras, that simulates the quantized training of reversible NNs. This project was accepted for the poster session at the TinyML 2024 Research Symposium.
Education
Politecnico di Milano
Mathematical Engineering - Statistical Learning
Thesis: Quantized Reversible Layers for On-Device Neural Networks Training - developed during the course of an Internship at STMicroelectronics.
Politecnico di Milano
Single Courses to access the Master's degree in Mathematical Engineering.
Politecnico di Milano
Aerospace, Aeronautical and Astronautical/Space Engineering
Technische Universität Berlin
Luft- und Raumfahrttechnik
Giovanni Battista Pollam's Contact Information
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