Co-evolving robot brains and bodies on AWS
Evolutionary robotics needed massive parallel simulation, but the existing pipeline ran on local hardware and capped how big the experiments could be. The science was throttled by the infrastructure.
Migrated the simulation pipeline to AWS (EC2 + S3), unlocking large-scale parallel evolution runs. Secured AWS Cloud Credits for Research to fund it. Taught the platform to 20+ master's students as TA for the Evolutionary Robotics course at EPFL.
The platform now supports experiments that were previously impractical. Work featured on the AWS Public Sector Blog. The optimisation, search, and embodied-learning intuitions from this work underpin every agentic AI system I design today.
Research-tier work like this is rarely a fixed-scope engagement. The closest commercial shape is a Strategy hour to scope the experiment, then a custom-quoted Build engagement to migrate the simulation pipeline to cloud-scale parallel runs.
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