Sanskar Agrawal is a Machine Learning Engineer with nine years of experience building computer vision and 3D ML systems, currently at Meta London after leading ML at Preimage. He blends deep research expertise from IIT Kharagpur with hands-on engineering, having driven open-source development for Open3D-ML and contributed tensor API demos, image I/O, and tests to a widely used 3D data library. His work spans photogrammetry, NeRF-based 3D reconstruction, multi-view stereo, and real-time Gaussian splat rendering for browser-based 360° imagery, reflecting a focus on both academic rigor and deployable systems. At Intel Labs he produced a novel dataset and a Mitsuba-based relighting baseline that outperformed prior methods and earned an oral presentation at 3DV. Comfortable in C++, Python, and OpenCV, he pairs production-minded engineering with research leadership across perception stacks integrating sensors like IMUs, lidar, and stereo cameras.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electrical Engineering, Bachelor of Technology (B.Tech.) Electrical Engineering at Indian Institute of Technology, Kharagpur
Contributions:25 reviews, 16 commits, 17 PRs in 1 year 4 months
Contributions summary:Sanskar primarily contributed to integrating and testing machine learning functionalities within the Open3D library. Their work included adding a demo for the tensor API, which is crucial for numerical operations, and integrating Open3D-ML, including adding code, options, and dependency management. They also worked on image I/O functionalities and added tests.
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