HermannĀ Kumbong
Research at Stanford Artificial Intelligence Laboratory (SAIL)
Palo Alto, California, United States
Summary
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Top SchoolHermann Kumbong is a research-focused computer engineer and PhD candidate in Computer Science at Stanford with nine years of experience building scalable ML systems across academia and industry. He combines deep interests in computer vision, NLP, and intelligent systems with hands-on research roles at SAIL, NVIDIA (generative AI), MIT (efficient ML), and teaching experience as Head TA for Stanford's CS 229S. Prior experience in trading infrastructure at Goldman Sachs gives him a practical edge in production systems and performance-sensitive engineering. A quick learner who masters tools on the job, he specializes in turning research prototypes into robust, scalable software and enjoys tackling cross-disciplinary problems that bridge theory and deployment.
9 years of coding experience
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Kwame Nkrumah University of Science and Technology, KumasiDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
English, French
Stackoverflow
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0reached
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Github Skills (37)
generative-model10
autoregressive-models10
plug9
quine9
battery9
cli8
graph-convolutional-networks8
graph8
pytorch8
geometric-deep-learning7
diffusion-models7
vision-transformer7
deep-learning7
graph-neural-network7
32-bit7
Programming languages (5)
Github contributions (5)
Kumbong/rubikx
Dec 2019 - Nov 2021
Contributions:3 commits, 3 pushes in 2 years
Kumbong/vlc-clone
Jul 2018 - Jul 2019
Contributions:15 commits, 10 pushes, 1 branch in 11 months
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