Vikas Dhiman
Machine Learning Engineer at University of Maine, Orono
Ann Arbor, Michigan, United States
Summary
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SeniorVikas Dhiman is a Machine Learning Engineer based in Ann Arbor, Michigan with 11 years of experience building ML and robotics systems. He contributes to high-impact open-source projects—most notably gpytorch—where he has fixed core matrix-operation bugs and improved test and code quality in Gaussian Process implementations. His background blends practical engineering with research-grade ML tooling, enabling reliable probabilistic models in PyTorch-based stacks. Vikas brings hands-on expertise in debugging numerical issues and merging cross-branch improvements, a skill set that surfaces in complex model libraries. Known for bridging robotics intuition with machine learning rigor, he publishes work and maintains a professional homepage showcasing projects and deeper technical notes.
11 years of coding experience
Stackoverflow
2,240reputation
200kreached
13answers
5questions
numpy
top-5%
python
top-5%
Github Skills (12)
pytorch10
python10
gaussian-processes10
numpy9
gpu-acceleration7
debugging6
ctypes6
algorithm6
pdb6
syntax-highlighting6
matplotlib6
dsl6
Programming languages (11)
Github contributions (5)
cornellius-gp/gpytorch
Oct 2019 - Feb 2020
A highly efficient implementation of Gaussian Processes in PyTorch
Role in this project:
ML Engineer
ML EngineerContributions:9 commits, 2 PRs, 1 comment in 4 months
Contributions summary:Vikas primarily contributed to the `gpytorch` repository by modifying the core library files and test files. These changes include fixing bugs related to matrix operations, particularly in the `InterpolatedLazyTensor` module, and addressing flake8 issues. They also incorporated and merged code from another branch.
pytorchgpu-accelerationgaussianstochastic-processesmodular
aidannarbor/umich.edu.website
Mar 2015 - May 2020
Contributions:1 PR, 26 pushes, 1 branch in 5 years 1 month
hostedumichheaderedu
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