Impulse Audio Lab GmbH
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Senior Audio Research Engineer
Research and development of ML-driven audio synthesis and processing, building neural and signal-processing methods that generate and control sound in real time on embedded hardware, applied to automotive audio. Core work spans neural audio synthesis, differentiable DSP, and end-to-end pipelines that combine learned and signal-processing components, including RPM/torque-conditioned synthesis networks, parameter estimation from audio, and timbre-space embeddings. Product Owner of the EVx Suite, an automotive DAW for developing and deploying interactive driving sounds and in-vehicle audio, selected by major international OEMs for production use. I own the technical roadmap and have taken it from early prototype to production.
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Lead Audio R&D Engineer
Built the real-time DSP and synthesis engines behind procedurally generated engine sound. Developed analysis-and-resynthesis pipelines that decompose recorded combustion-engine audio into synthesis-ready representations (harmonic/noise components, wavetable frames, procedural parameters) for real-time resynthesis on embedded targets across additive, wavetable, procedural, and sample-based methods. Built and annotated a dataset of synthetic engine audio that supported the downstream ML-based synthesis and parameter-estimation work.
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Audio Design Engineer
Designed and prototyped real-time interactive audio systems that map live vehicle and sensor data to synthesised sound, spanning active sound design and algorithmic prototyping for interactive driving and engine sounds. Built demonstrators and research prototypes in Max/MSP and Python for premium OEM clients including BMW, Mercedes-AMG, Mercedes G GmbH, Rolls-Royce, and MINI.
