Stefano Peluchetti
Research Scientist at Sakana AI
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolStefano Peluchetti is a research scientist with over a decade of industry experience applying quantitative methods to real-world problems and eight years focused on deep learning and statistical research. He has held senior roles at Cogent Labs and HSBC and now works at Sakana AI, bringing a rare combination of PhD-level statistical rigor and production-minded ML expertise. Stefano publishes in top-tier venues and built an open-source scientific computing framework in LuaJIT that ranked first in the Julia Micro-Benchmarks, demonstrating both theoretical depth and practical performance engineering. Based in Chiyoda, Japan, he blends academic excellence (PhD, Università Bocconi) with hands-on product impact, often tackling cross-domain problems from finance to AI.
12 years of coding experience
16 years of employment as a software developer
PhD, Statistics, pass with distinction, PhD, Statistics, pass with distinction at Università Bocconi
English, Italian, Japanese
Github Skills (200)
similarity-search10
nearest-neighbors10
autocomplete10
luarocks10
neural-network10
julia10
data-science10
python10
gpu-acceleration10
acceleration10
tensorflow10
autograd10
machine-learning10
colorize10
gpu10
Programming languages (13)
Github contributions (5)
stepelu/lua-sci
Mar 2014 - Feb 2021
SciLua: Scientific Computing with LuaJIT
Contributions:41 commits, 2 PRs, 12 pushes in 6 years 11 months
eigenvalueslualapacklinear-algebrascientific-computing
stepelu/lua-time
Mar 2014 - Feb 2016
Contributions:21 commits, 9 pushes, 3 tags in 1 year 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.