Xiaopeng Liao
Staff Software Engineer at Beckman Coulter Diagnostics
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolXiaopeng Liao is a Staff Software Engineer based in Munich with 10+ years building cross-disciplinary systems that bridge embedded DSP, FPGA hardware, and deep learning for industrial and medical products. He has led production software and inference-acceleration efforts at companies like Beckman Coulter, HERE, and Statoil, applying CNN/RNN/LSTM models alongside scalable data pipelines (Spark, Hadoop, HP Vertica) for time-series and imaging problems. His background in ultra-low-power DSP and FPGA design informs pragmatic ML deployments and custom inference acceleration for real-world constraints. Equally comfortable in C/C++, C#, Matlab and PyTorch/TensorFlow, he blends software design patterns and reusable engineering with hands-on algorithm development in segmentation, weak-label denoising, distance learning and image clustering. Notably, he has shipped end-to-end solutions from embedded hearing-aid algorithms to automotive navigation stacks and drilling-optimization ML systems. He holds a Master’s in Electronic Engineering and often operates at the hardware–software boundary to turn research ideas into production-grade systems.
10 years of coding experience
12 years of employment as a software developer
Master, Electronic Engineering, Master, Electronic Engineering at University of Electronic Science and Technology of China
English, ChineseProgramming languages (1)
Github contributions (2)
marcelstoer/nodemcu-custom-build
Jun 2017 - Aug 2018
Contributions:7 commits in 1 year 2 months
xpliao/xpliao.github.io
Nov 2015 - Nov 2015
Contributions:1 branch in 1 day
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