Michel A is a software engineer with 11 years of experience building production-grade systems across mobile, ML, and large-scale data pipelines, now working on frontier AI and science at Google DeepMind. He has shipped high-impact features at Google—prototyping Gemini-based agents, fine-tuning models for screen-space referent resolution, and helping design a RAG indexing pipeline aimed at indexing a billion app pages per day. His background spans performance-sensitive engineering from Android graphics frameworks and on-device gesture models to distributed PySpark pipelines and realtime inference optimizations that significantly reduced resource usage in production. At Twitter and Criteo he delivered measurable product and efficiency gains (A/B-tested video bitrate improvements and multi-terabyte pipeline optimizations). Michel combines hands-on coding in multiple languages with research-adjacent prototyping, and maintains a habit of continuous learning evident from his public projects and tutorials. Based in London, he brings a rare mix of applied ML, systems engineering, and product-minded experimentation.
Contributions:8 commits, 5 pushes, 1 branch in 1 year 7 months
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