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.