Kanishka Ganguly
Senior Scene Reconstruction Engineer at Quidient
Tracy, California, United States
Summary
👤
Senior🎓
Top SchoolKanishka Ganguly is a Senior Scene Reconstruction Engineer with 14 years of experience bridging academic research and production perception systems, currently driving scene reconstruction at Quidient after roles in perception at Aeva and Magic Leap. He holds a PhD in Computer Science and an M.Eng. in Robotics from the University of Maryland, where his research advanced tactile feedback and adaptive grasping using the Shadow Dexterous Hand and BioTac sensors. Comfortable across computer vision, robotics, embedded systems, and AI, he has shipped perception data pipelines in AR/robotics contexts and contributed low-level C++ point-cloud I/O support to the cilantro library. Based in Tracy, California, he combines hands-on implementation skills with a researcher's rigor, often translating sensor-level insights into robust production features. Notably, his work spans both tactile manipulation research and practical scene-level perception, a blend that helps close the loop between interaction and environment understanding.
13 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of MarylandBachelor of Engineering (B.Eng.) Computer Science and Engineering, Bachelor of Engineering (B.Eng.) Computer Science and Engineering at Birla Institute of Technology, Mesra
Hindi, Bengali, Arabic, German, English
Stackoverflow
1,268reputation
174kreached
34answers
57questions
Github Skills (19)
c-language10
3d10
cprogramming-language10
eigen9
html6
arduino6
scale6
php6
http-header6
opencv6
python6
multithreading6
java6
registrar4
image-reconstruction4
Programming languages (6)
Github contributions (5)
kzampog/cilantro
May 2017 - May 2018
A lean C++ library for working with point cloud data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 commits, 5 pushes, 1 issue in 1 year
Contributions summary:Kanishka primarily contributed to the implementation of a PLY file reader and writer for the point cloud data library. They added code to read data from PLY files, including vertices, normals, and colors, and also implemented the functionality to write point cloud data to PLY files. The user refactored and edited existing files to reflect the new PLY format. This work directly supports the library's core function of processing and manipulating point cloud data.
k-meanshierarchicalspectral-clusteringmdsiterative-closest-point
kanishkaganguly/dotfiles
Jul 2018 - Apr 2022
Contributions:39 pushes, 1 branch in 3 years 9 months
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