Shreyansh Darshan
Research Engineer at Preimage
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolShreyansh Darshan is a research engineer based in Bengaluru with 7 years of experience specializing in 3D computer vision, geometric vision, simulations, and computer graphics. Currently building Preimage, he combines research rigour from IIT Kharagpur with hands-on production work—transitioning from multiple internships (including Intel Labs) to a research engineer role and earlier co-founding a deep-tech startup. He leads applied SLAM development from his undergraduate research and has contributed to prominent open-source tooling like Open3D, implementing core Tensor operations and extending the viewer with CLI-capable pybind bindings. Comfortable across C++ and Python, he bridges low-level algorithm implementation and end-user examples, making complex geometry pipelines reproducible and accessible. Colleagues describe him as a solver who gravitates to hard geometric problems and practical system-building rather than purely theoretical work.
7 years of coding experience
4 years of employment as a software developer
Intergated MSc., Mathematics and Computing, Intergated MSc., Mathematics and Computing at Indian Institute of Technology, Kharagpur
Stackoverflow
103reputation
0reached
0answers
0questions
Github Skills (14)
c-language10
open3d10
visualization10
cpp10
visualizations10
cprogramming-language10
python10
computer-vision9
perception9
3d9
machine-learning9
pytorch8
windows-gui8
tensorflow8
Programming languages (4)
Github contributions (5)
isl-org/Open3D
Nov 2021 - Aug 2022
Open3D: A Modern Library for 3D Data Processing
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:23 reviews, 70 commits, 21 PRs in 8 months
Contributions summary:Shreyansh primarily contributed to the implementation of the "flatten" operation within the core Tensor class, including both C++ and Python bindings and unit tests. They also moved Jupyter tutorials to the documentation folder and added various examples for surface reconstruction and voxelization, enhancing the geometry section. Furthermore, they refactored the python examples directory and added pybind for the Open3D Viewer to provide command-line interface capability.
python3d-perceptionodometrytensorflowpointcloud
AGV-IIT-KGP/lime
Oct 2019 - Aug 2021
Contributions:52 commits, 4 pushes, 1 branch in 1 year 10 months
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