Daniele Paletti
Data Scientist
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolDaniele Paletti is a data scientist with eight years of experience blending machine learning research and practical engineering to build AI systems for social good. Trained at Politecnico di Milano (BSc and ongoing MSc in Machine Learning), he has published FPGA design-space exploration work and advanced genetic-algorithm optimization with multi-armed bandits and online learners. His applied research includes hierarchical multi-agent RL for power-grid control and high-accuracy time-series models for mobility sensing, and he now applies this expertise at Fastweb. Comfortable moving between embedded/FPGA toolchains and large-scale ML, he brings a civic-minded perspective shaped by long-standing engagement with open-source culture and the arts. Colleagues value him for turning complex research ideas into reproducible tools and competitive benchmark results.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science and Engineering, Master of Science - MS, Computer Science and Engineering at Politecnico di Milano
Github Skills (8)
fitness9
approximation8
vivado8
cli5
python5
machine-learning5
function-approximation2
pypi1
Programming languages (3)
Github contributions (5)
dpaletti/movado
Mar 2021 - Jan 2023
Black-box fitness function approximation python library
Contributions:26 commits, 29 pushes, 1 branch in 1 year 10 months
python-librarypythonboxfunction-approximationfitness
dpaletti/dovado
Jul 2020 - Apr 2022
Contributions:1 review, 93 commits, 5 PRs in 1 year 9 months
rtldesign-space-explorationvivadocli-tooldesign-space
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