Summary
Atabak Pouya is a Senior Audio ML Engineer based in California with 9 years of experience blending DSP, embedded systems, and machine learning to deliver production-ready audio solutions at Synaptics. Over seven years focused on audio ML and ML compilers, he has progressed from DSP intern to senior engineer, shipping algorithms and toolchains for real-time, resource-constrained devices. His background in electrical engineering and hands-on work with ARM Cortex-M4 firmware and networking early in his career gives him uncommon end-to-end insight from hardware to model deployment. Holding an MS in Computational and Data Science, he specializes in optimizing ML for embedded audio while balancing latency, power, and accuracy trade-offs. Colleagues describe him as a pragmatic engineer who turns research ideas into robust products.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Electrical Electronic Engineering, Bachelor of Science - BS, Electrical Electronic Engineering at University of Tabriz
Master of Science - MS, Computational and Data Science, GPA: 3.8, Master of Science - MS, Computational and Data Science, GPA: 3.8 at Chapman University
Embedded systems development, 100%, Embedded systems development, 100% at Institute of Technology Development of Canada ( ITD Canada)
English, Persian, Turkish, Azerbaijani