Dilawar Mahmood
Founding Research Engineer at ZeroEntropy
San Francisco, California, United States
Summary
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Top SchoolDilawar Mahmood is a Founding Research Engineer with eight years of experience building high-performance ML training and inference systems, currently focused on GPU kernels, scheduling, and distributed training at ZeroEntropy in San Francisco. He blends a strong math and competitive programming background with hands-on work optimizing throughput vs. goodput, end-to-end debugging of training runs, and synthetic data pipelines. Previously at Apple he led large-scale pre-training data research and reliable batch inference across GPU clusters, and he has a track record of shipping production ML systems as an early engineer and founder. Comfortable with low-level GPU work (CUDA, Triton) as well as functional programming and theorem proving, he brings both systems-level rigor and experimental research instincts. Notably, he’s applied production-grade engineering to novel domains—from implementing AlphaZero in C++ to building full-stack ML apps—showing a bias for shipping complex, high-performance systems.
7 years of coding experience
7 years of employment as a software developer
Norwegian University of Science and Technology
Norwegian, Urdu, German, English, Spanish
Stackoverflow
9reputation
89reached
0answers
2questions
Github Skills (28)
row9
tac9
tic-tac-toe9
django7
cli-application6
binary-search-tree6
python6
javascript6
tensorflow5
machine-learning4
facial-recognition4
deep-learning4
face-recognition4
datastructures-algorithms4
computer-vision4
Programming languages (4)
Github contributions (5)
dilawarm/federated
Jan 2021 - Jul 2021
Contributions:1 release, 337 commits, 14 pushes in 5 months
dilawarm/Facial-Recognition
Mar 2020 - Sep 2020
Website for doing facial recognition on people.
Contributions:34 commits, 5 PRs, 30 pushes in 6 months
pythondjangoface-recognitionrecognitionfacial
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