Summary
Puya Amiri is a researcher and computing systems engineer based in Hamburg with 11 years of experience across AI, high-performance computing, and audio/sound engineering. Currently at DFKI, he focuses on applied AI and HPC, bringing together digital hardware design (FPGA), embedded software, and signal processing from prior roles at bdSound and research networks like HiPEAC. His academic background spans sound and music engineering, computer hardware, and specialized HPC/architecture summer schools, enabling a rare blend of theoretical rigor and hands-on system design. Beyond research, he composes practical audio models and measurement workflows and still finds time to perform as a guitarist in Rockin'1000, reflecting a creative approach to technical problems. Known to describe himself playfully as "a probably conscious creature," he combines curiosity-driven exploration with reproducible engineering practices.
11 years of coding experience
1 year of employment as a software developer
Goethe Institute
Computer Engineering, Computer Engineering at Universität des Saarlandes
kish language institute
Advanced Computer Architecture and Compilation for High-performance Embedded Systems, Advanced Computer Architecture and Compilation for High-performance Embedded Systems at HiPEAC
ACACES 2020, Summer School on Advanced Computer Architecture and Compilation for HPC and Embedded Systems, ACACES 2020, Summer School on Advanced Computer Architecture and Compilation for HPC and Embedded Systems at HiPEAC Network
Summer School in “Wave in Time and Space”, Audio, Acoustics and signal Processing, Summer School in “Wave in Time and Space”, Audio, Acoustics and signal Processing at Aalto University
Bachelor of Science (BS), Computer Hardware Engineering, Bachelor of Science (BS), Computer Hardware Engineering at Qazvin Islamic Azad University
Master of Computer Science and Engineering, Sound and Music Engineering, Master of Computer Science and Engineering, Sound and Music Engineering at Politecnico di Milano
HPC Computer Architectures for AI and Dedicated Applications, HPC Computer Architectures for AI and Dedicated Applications at Association for Computing Machinery (ACM)
English, Persian, German, Italian