Pong Eksombatchai
Research Engineer at Google DeepMind
Los Gatos, California, United States
Summary
👤
Senior🎓
Top SchoolPong Eksombatchai is a Research Engineer with 14 years of experience building and scaling production ML systems, now at Google DeepMind after leading ML infrastructure and recommender system efforts at Pinterest. At Pinterest he drove a 2000x scale-up of critical recommendation models through full-stack optimization and model-infrastructure co-design, effectively owning recommender advancements for four years. He blends research rigor from Stanford with hands-on engineering across serving, training, and feature pipelines, and has a strong track record in ads and search systems from earlier roles. Based in Los Gatos, he couples deep systems expertise with product-minded execution, known for squeezing orders-of-magnitude efficiency gains that enable new product capabilities.
14 years of coding experience
13 years of employment as a software developer
Master's Degree Financial Mathematics, Master's Degree Financial Mathematics at Stanford University
English, Thai
Github Skills (16)
sparse9
sparse-matrix8
python8
gpu7
pytorch7
machine-learning7
deep-learning7
numpy5
autograd5
neural-network5
matrix-multiplication4
geometric-deep-learning3
graph3
gpu-acceleration3
tensor3
Programming languages (2)
Github contributions (5)
snap-stanford/curis-2012
Jun 2012 - May 2013
Contributions:186 commits in 10 months
vrtex-team/pytorch_sparse
Jun 2021 - Jun 2021
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Contributions:2 pushes, 1 branch in 8 days
pytorchsparse-matrixsparseoptimizedmatrix
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