Andrea Michi is a Co-Founder and Chief AI Officer with 12 years of experience turning cutting-edge research into production-grade systems, currently based in London. He led Reinforcement Learning efforts at DeepMind—most recently as Tech Lead Manager for Gemini and earlier as Tech Lead of AlphaDev, work that contributed to a Nature publication and measurable algorithmic speedups (e.g., making std::sort >2% faster and improving flat_hash_map hashing >30%). His DeepMind tenure also includes impactful applied ML: grid optimization, renewable energy forecasting (>20% wind forecasting improvement), and RL-driven data center cooling (>30% energy savings). Prior roles at Google and internships at YouTube and Imperial College gave him strong systems and infrastructure foundations across large-scale products. As a founder he now focuses on bridging elegant research ideas with messy real-world constraints, combining product sensibility with deep technical leadership. Uncommonly for an AI leader, his background includes low-level FPGA float optimizations and hands-on infrastructure work, giving him fluency from silicon-adjacent performance tuning to high-level ML research.
12 years of coding experience
9 years of employment as a software developer
Master of Engineering (MEng) Computer Science, Master of Engineering (MEng) Computer Science at Imperial College London
Contributions:9 commits, 21 pushes in 3 years 10 months
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