Jinu Sunil
Founding, ML Engineer at Kumo.AI
Mountain View, California, United States
Summary
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Rockstar🎓
Top SchoolJinu Sunil is a founding ML engineer at Kumo.AI with eight years’ experience building data processing pipelines and graph ML algorithms to simplify enterprise AI. Previously at Qualcomm Research he developed graph-based methods to speed chip design, progressing from associate to senior researcher. A core contributor to PyTorch Geometric, he implemented and tested novel components like a MemPool layer and differentiable group normalization (DiffNorm), demonstrating both practical library integration and research-grade experimentation. Jinu combines a strong theoretical background (MSc in Mathematics) with hands-on systems work, bridging algorithm design and production code in Mountain View. He’s comfortable shipping infrastructure-level ML components and surfacing their utility in real-world engineering workflows.
8 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
geometric-deep-learning10
pytorch10
machine-learning10
deep-learning10
graph-neural-network10
python10
graph-convolutional-networks9
Programming languages (1)
Github contributions (5)
pyg-team/pytorch_geometric
Jan 2021 - Jan 2023
Graph Neural Network Library for PyTorch
Role in this project:
ML Engineer
ML EngineerContributions:555 reviews, 97 commits, 121 PRs in 2 years
Contributions summary:Jinu's commits primarily focused on implementing and testing a MemPool layer, a memory-based graph neural network component. Their work involved writing tests for the MemPool layer, integrating it into the PyTorch Geometric library, and exploring its functionality. Additionally, the user added a differentiable group normalization layer, DiffNorm, along with tests, and implemented examples demonstrating its usage within the library.
pytorchgraph-convolutional-networksgeometric-deep-learningdeep-learningneural-graph
wsad1/fptree-diabities
Sep 2017 - Dec 2020
Contributions:6 commits, 5 pushes, 1 branch in 3 years 3 months
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