Fah Chong
Senior Principal Data Scientist
Singapore
Summary
👤
Senior🎓
Top SchoolFah Chong is a Senior Principal Data Scientist based in Singapore with over a decade of experience turning research into production-grade big data and ML/DL systems. He combines a PhD-level background in electrical and computer engineering with hands-on delivery of end-to-end products across NLP, graphs, computer vision and recommender systems. Fah has led cross-functional scoping with clients, prototyped novel approaches from recent papers, and built scalable pipelines that delivered 100x–1000x performance improvements in real transport- and graph-analysis projects. His work spans low-level algorithmic speedups in Spark/PySpark and NetworkX-compatible libraries to PyTorch/TensorFlow models deployed in the cloud, reflecting a rare blend of research rigor and production engineering. Known for pragmatic POCs that surface viable solutions quickly, he excels at moving ideas from paper to reliable, high-throughput systems.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, GPA: 5.0/5.0, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, GPA: 5.0/5.0 at National University of Singapore / NUSBachelor of Engineering (B.Eng.), Electrical Engineering, First Class Honours, Bachelor of Engineering (B.Eng.), Electrical Engineering, First Class Honours at National University of Singapore
English, Chinese
Github Skills (37)
nvidia-docker10
paddle10
image-processing10
building-blocks10
image-augmentation10
data-augmentation10
predict9
pytorch9
python9
machine-learning9
audio-processing9
mxnet9
data-processing9
gpu9
churn9
Programming languages (3)
Github contributions (5)
hfchong/fold
Feb 2018 - Nov 2018
Contributions:12 pushes in 8 months
computationcomputation-graphsdeep-learningmachine-learninggraphs
dsaidgovsg/k-shortest-path
Apr 2018 - May 2018
Implements K shortest path algorithms for networkx
Contributions:6 commits, 1 PR, 7 pushes in 28 days
networknetworkxpathshortest-path
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