Shreeraj Jadhav is a software engineer with eight years of experience specializing in graphics, spatial data analysis, visualization, and geometry processing for science and medicine. He holds advanced degrees including an MS from the University of Utah and a PhD from Stony Brook University, grounding his work in rigorous research. An active contributor to prominent open-source projects like Kitware's vtk-js and ParaView, he has fixed rendering and WebGPU texture bugs, added ImageData features, and developed Python plugins and test data sources for complex temporal visualization workflows. Based in Town of Brookhaven, New York, he combines backend and full-stack skills to bridge algorithmic geometry work with practical visualization tooling. Notably, his contributions include unit tests and subtle bug fixes that improved volume rendering accuracy and data array handling—work that often prevents hard-to-detect scientific visualization errors. He brings a researcher’s attention to correctness together with production-focused engineering to deliver reliable visualization systems.
8 years of coding experience
The University of Utah
Savitribai Phule Pune University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Stony Brook University
Contributions:75 reviews, 12 commits, 36 PRs in 5 months
Contributions summary:Shreeraj primarily contributed to the `vtk-js` repository by addressing issues related to rendering and data visualization within the web environment. Their work involved fixing bugs in texture handling for WebGPU, ensuring type consistency in math functions, and resolving failures in volume rendering tests. They also enhanced the ImageData module by adding features and fixing incorrect variance calculations. Furthermore, the user added unit tests for vtkDataArray to test single and multi-channel data arrays.
VTK-based Data Analysis and Visualization Application
Role in this project:
Backend Developer
Contributions:9 commits in 1 month
Contributions summary:Shreeraj primarily focused on developing a Python plugin and making bug fixes within the ParaView codebase. Their contributions included creating a test data source plugin to generate data for testing the plotting of global temporal data. They also addressed a bug in the existing plugin related to time step handling. Additionally, they fixed bugs in the spreadsheet view cell connectivity and selection.
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