Benjamin Graham
Account Manager at Facebook
Phoenix, Arizona, United States
Summary
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RockstarBenjamin Graham is an experienced Account Manager based in Phoenix with 11 years in tech account management at Facebook, blending client-facing strategy with a deep appreciation for engineering challenges. He pairs relationship-building and revenue stewardship with hands-on technical fluency, evidenced by open-source contributions to performance-critical ML code—refactoring sparse convolutional networks and implementing CUDA kernels for GPU-optimized pooling. That uncommon mix lets him translate client needs into technically feasible roadmaps and advocate effectively between engineers and stakeholders. Known for pragmatic problem solving, he brings measurable impact in large-scale adtech/social platforms while retaining a hobbyist’s curiosity for low-level ML performance work.
11 years of coding experience
Github Skills (14)
neural-network10
cuda10
mask-rcnn10
gpu-programming10
faster-rcnn10
machine-learning10
c-language10
cprogramming-language10
optimization9
optimisation9
numerical-optimization9
algorithm9
code-optimization9
algorithms9
Programming languages (3)
Github contributions (5)
btgraham/SparseConvNet-archived
Mar 2015 - Jul 2017
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:178 commits, 1 PR, 132 pushes in 2 years 3 months
Contributions summary:Benjamin appears to be refactoring and adding new features to a spatially sparse convolutional network. They are implementing various pooling layers, including regular, pseudorandom, and random overlapping fractional max-pooling. The commits also include kernel implementations for CUDA, specifically for performing max pooling and backpropagation, suggesting a focus on optimizing the performance of the neural network on GPU.
cnnssparseconvolutionalconvolutional-networksdimensional
facebookresearch/LeViT
May 2021 - Aug 2022
LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
Contributions:1 review, 8 commits, 1 PR in 1 year 3 months
pytorchvision-transformervisiondeep-learningconvnet
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