Summary
Marko Stamenovic is a Senior Principal Machine Learning Engineer with a decade of experience applying deep learning to speech and audio for low-latency embedded devices. At Bose he has led research-to-production efforts across wearables, hearing assistance, and immersive out‑loud audio, inventing noise suppression, echo cancellation, and model compression techniques that run on tiny edge hardware. His background blends acoustic science (mechanical engineering acoustics) with ECE research and hands‑on ML work begun at the Recurse Center, where he focused on musical audio embeddings and NLP. Marko is notable for translating novel algorithms into shipped products and SDKs (e.g., Bose PinPoint) and for influencing hardware roadmap decisions by selecting AI‑accelerated chipsets. Based in Massachusetts, he bridges rigorous research, practical deployment, and acoustic domain expertise to solve real‑time audio challenges.
10 years of coding experience
8 years of employment as a software developer
Visiting Student Computer Science, Visiting Student Computer Science at New York University
Master’s Degree Electrical and Computer Engineering, Master’s Degree Electrical and Computer Engineering at University of Rochester
Bachelor’s Degree Mechanical Engineering Acoustics, Bachelor’s Degree Mechanical Engineering Acoustics at Boston University
English, Czech, Serbian