Daniele Molinari
Deep Learning Engineer at Apple
California, United States
Summary
👤
Senior🎓
Top SchoolDaniele Molinari is a Deep Learning Engineer with 12 years of experience building perception, planning and decision-making systems for autonomous vehicles and, more recently, generative AI at Apple. He blends applied research and production engineering—holding a PhD in Information Technology—with hands-on expertise in post-training and reinforcement learning for large-scale models and autonomous systems. His career includes senior R&D roles at Toyota Research Institute and full-stack algorithm development for VisLab, where he led lane detection, trajectory planning and vehicle control projects. Comfortable moving models from research into robust, real-world deployments, he has driven high-level decision making for safety-critical autonomy. Based in California, he pairs academic depth with product-focused delivery and an uncommon mix of planning/control theory and modern deep learning practice.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Information Technology, Doctor of Philosophy - PhD Information Technology at Università degli Studi di Parma
Italian, English
Github Skills (28)
typescript8
microsoft7
electron7
vscode-extension7
vscode7
editor7
openframeworks6
popcorn6
visual-studio6
visual-studio-code6
streaming5
backend5
nwjs5
player4
desktop4
Programming languages (6)
Github contributions (5)
dno89/SLAM
Sep 2013 - Sep 2014
Contributions:80 commits in 1 year
dno89/EKF
Oct 2013 - Oct 2013
Contributions:3 commits in 1 day
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