Daniele Molinari
Summary
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RockstarDaniele 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.
13 years of coding experience
Github Skills (28)
electron7
typescript7
popcorn6
streaming5
android5
openframeworks5
editor5
linux5
windows5
microsoft5
ios5
visual-studio-code5
player4
macos4
rl-environment4
Programming languages (6)
Github contributions (5)
dno89/SLAM
Sep 2013 - Sep 2014
Contributions:80 commits in 1 year
dno89/hive
Jan 2026 - Jan 2026
Contributions:6 pushes, 1 branch in 7 days
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