Summary
Peter Raffensperger is an audio and machine learning engineer with 13 years of experience building DSP and tooling for production speech systems at Apple, currently leading Siri ASR tools and infrastructure. He holds a PhD in Electrical and Electronics Engineering focused on multi-agent learning and emergent behaviour, bringing a strong research mindset to practical engineering problems. His background spans low-level audio DSP, GPU-accelerated imaging pipelines, and embedded systems, enabling him to bridge algorithm development and scalable production implementations. At Apple he progressed from Audio DSP engineer to architecting tooling for large-scale ASR, reflecting deep domain expertise in speech and signal processing. Outside of work he combines interests in programming and music, a mix that informs both creative and technical perspectives on audio problems. Colleagues rely on him for measured, research-informed solutions that translate into reliable infrastructure for real-world products.
13 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical and Electronics Engineering, Doctor of Philosophy (PhD) Electrical and Electronics Engineering at University of Canterbury
NZQA New Zealand Scholarship and NCEA Levels 1 2 & 3, NZQA New Zealand Scholarship and NCEA Levels 1 2 & 3 at Riccarton High School