Summary
Aymeric Nunge is a senior software engineer based in Berlin with 11 years of experience building high-performance, cloud-native systems across audio, streaming, and energy domains. He combines deep DSP and real-time signal processing expertise with modern systems work—shipping Rust-based, low-latency architectures and MLOps for time-series and real-time inference. As a founder and engineer he has shipped end-to-end products from embedded recorder firmware and Go-based media pipelines to cloud services on AWS, and recently built an ultra-fast generative drum sequencer that runs sub-10ms inference. At Future Audio Workshop he integrated client-side deep learning into cross-platform audio apps, and today leads distributed real-time data processing for sustainable energy at Green Fusion. Known for bridging research and production, he often prototypes on Github with side projects and experiments that explore the intersection of ML, audio, and systems engineering.
11 years of coding experience
17 years of employment as a software developer
English, French