Pablo González
Software Engineer - Machine Learning Specialist at Google
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolPablo González is a software engineer and machine learning specialist with a PhD in Computer Science and 14 years building high-performance, scalable systems across real-time data, audio processing, and signal processing. Currently at Google, he focuses on on-device ML for low-latency audio and model optimization under tight compute and memory constraints, blending research rigor with production engineering. His background includes leadership roles scaling data platforms at Spotify and architecting a microservice transition as Chief Architect at Jobandtalent, giving him deep expertise in distributed systems, Kafka/Hadoop ecosystems, and infrastructure automation. Early research and teaching roles in computer vision and robotics inform his strength in numerical methods, mathematical modelling, and algorithmic optimization. Colleagues value him for bridging academic research and product delivery—often surfacing non-obvious trade-offs between model accuracy and system constraints to make ML work at scale.
14 years of coding experience
13 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)Master, Business Administration, Master, Business Administration at Universidad Rey Juan Carlos
Github Skills (30)
cuda9
logging8
vulkan8
batch8
streaming8
python8
codec8
luigi8
machine-learning8
onnx8
pytorch8
transport7
visualization7
java7
tensorflow7
Programming languages (5)
Github contributions (5)
pbarrera/pbarrera.github.com
Feb 2018 - Feb 2018
Contributions:1 PR, 3 pushes, 1 branch in 4 days
testingtesting-tools
pbarrera/iree
Jan 2025 - Jan 2025
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Contributions:2 pushes, 1 branch in 1 day
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