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NVIDIA
Backend Engineer
June 26, 2026 – Present
3dgrut
March 20, 2025 – Present
Ray tracing and hybrid rasterization of Gaussian particles
View Projectkaolin-wisp
July 26, 2022 – August 4, 2024
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
View Projectkaolin
November 14, 2019 – Present
A PyTorch Library for Accelerating 3D Deep Learning Research
View ProjectThe-Wall-of-shame-of-Machine-Learning
February 3, 2019 – February 4, 2019
List of all the bullshit in Machine Learning publications
View ProjectLearningCpp
March 15, 2018 – March 15, 2018
Lifelong repository following my personal C++ exploration and training
View ProjectYeNet-Tensorflow
October 5, 2017 – October 7, 2017
Tensorflow implementation of "Deep Learning Hierarchical Representation for Image Steganalysis"
View ProjectYeNet-Pytorch
October 1, 2017 – October 7, 2017
Pytorch implementation of "Deep Learning Hierarchical Representations for Image Steganalysis"
View Projectcomputer-vision-project
October 9, 2016 – November 13, 2016
computer-vision-project — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on deep learning, 3D graphics, and high-performance computing, primarily in a research context. While these are technically advanced, the diversity of projects outside of this niche is limited. The single listed experience is current at NVIDIA as a Backend Engineer, which aligns with the target role. However, the overall breadth of technologies and project types for a senior backend role is narrow, potentially indicating a specific cultural fit for research-heavy environments rather than broader backend systems.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data.