Daniele Codecasa
Staff Software Engineer at Google
Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolDaniele Codecasa is a Staff Software Engineer at Google with 12 years of experience applying advanced machine learning to products spanning Chrome, Google Shopping, wearable audio, and fashion search. He holds a cum laude M.Sc. and a Ph.D. background in machine intelligence and data/text mining, and his technical strengths include probabilistic models (CTBNCs, CRFs, Bayesian networks), representation learning, and evolutionary optimization (PSO/GA/GP). Daniele combines research-grade expertise with production engineering in C/C++, Java, and Python, and routinely ships ML systems using TensorFlow, CAFFE and scikit-learn. He has led teams building sensor frameworks and metadata extraction pipelines, and has a track record of turning signal- and sensor-level research (e.g., Myo armband gesture recognition) into customer-facing improvements. Based in Bavaria, he brings a rare blend of academic depth and product-focused delivery across recommendation, IR, and time-continuous probabilistic modeling.
13 years of coding experience
11 years of employment as a software developer
Computer Science Bachelor Degree, Machine Intelligence | Artificial Intelligence | Evolutionary Algorithms, 107/110, Computer Science Bachelor Degree, Machine Intelligence | Artificial Intelligence | Evolutionary Algorithms, 107/110 at Università degli Studi di Milano-BicoccaVisiting Ph.D., Machine Intelligence | Data Mining, Visiting Ph.D., Machine Intelligence | Data Mining at Aalborg Universitet
Italian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
classifiers8
bayesian-network8
bayesian6
time-series3
machine-learning3
Github contributions (2)
dcodecasa/dotfiles
Oct 2016 - Mar 2018
Contributions:78 PRs, 59 pushes, 84 branches in 1 year 5 months
dcodecasa/CTBNCToolkit
Sep 2013 - Apr 2015
Contributions:10 commits, 6 PRs, 5 pushes in 1 year 7 months
bayesian-networkcontinuousmachine-learningtime-seriesbayesian
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.