Ákos Hadnagy is a Machine Learning Engineer with eight years of experience at the intersection of hardware and software, currently focused on making ML ecosystems work seamlessly across diverse hardware at Hugging Face. Trained as a computer engineer at TU Delft with a bachelor’s in electrical and electronics engineering, he brings deep FPGA and heterogeneous systems expertise from roles as an FPGA developer, formal verification practitioner, and senior engineer building distributed GPU query engines. He has hands-on experience designing GPU compute kernels, optimizing distributed architectures, and developing EDA and tracing tools that bridge low-level hardware constraints and high-level ML workloads. Based in Budapest, Ákos combines academic teaching experience with startup and freelance work, enabling pragmatic, auditable designs that scale. Notably, his background in formal verification and FPGA IP development gives him a rare ability to reason about correctness and performance across the full stack of ML deployment.
7 years of coding experience
8 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Budapest University of Technology and Economics
Master's degree Computer Engineering, Master's degree Computer Engineering at Delft University of Technology
Fletcher Open Programmable Acceleration Engine platform support
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Ákos Hadnagy - Machine Learning Engineer at Hugging Face