Bharath N
Student Researcher at Google DeepMind
City of Ithaca, New York, United States
Summary
👤
Senior🎓
Top SchoolBharath N is a PhD student researcher at Cornell University and a hands-on applied researcher focused on learning-based 3D representations, computer vision, and graphics, with eight years of industry and research experience. He has worked on memory-efficient real-time 3D rendering and generative trajectory prediction during internships at Intel and Siemens, and contributes to notable open-source projects like Kornia (adding a PnP solver and rigorous tests) and the collaborative neural-net editor Fabrik. Currently advised by Noah Snavely and with prior mentorship from Shubham Tulsiani, he bridges diffusion and 3D generative models to model structure, appearance, and dynamics from casual imagery. Comfortable across research and full-stack engineering, he combines rigorous evaluation and testing with practical system-building for spatial AI applications.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Cornell UniversityMaster of Science - MS Robotics, Master of Science - MS Robotics at Carnegie Mellon UniversityBachelor's of Engineering Electronics and Communications Engineering, Bachelor's of Engineering Electronics and Communications Engineering at Sri Sivasubramaniya Nadar College Of Engineering
English, Tamil
Github Skills (24)
unit-testing10
pytorch10
javascript10
geometry10
pytest10
python10
testing10
machine-learning10
tensorflow10
computer-vision10
tensor10
unit-test10
react10
algorithms9
deeplearning-ai9
Programming languages (5)
Github contributions (5)
Cloud-CV/Fabrik
Feb 2018 - Nov 2018
:factory: Collaboratively build, visualize, and design neural nets in browser
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 commits, 11 PRs, 110 comments in 9 months
Contributions summary:Bharath primarily focused on improving the user interface and fixing bugs within the Fabrik platform. Their contributions include addressing style issues with the login panel, enhancing the content display, and adding a slice layer to the UI. They also contributed to the backend by resolving issues related to the Keras backend support, which involved modifications to the testing suite. Furthermore, the user fixed cmake options for caffe installation.
caffe2browserfactoryvisualizejavascript
kornia/kornia
Aug 2021 - Oct 2021
🐍 Geometric Computer Vision Library for Spatial AI
Role in this project:ML Engineer & QA Engineer
ML Engineer & QA EngineerContributions:4 reviews, 10 commits, 4 PRs in 2 months
Contributions summary:Bharath contributed significantly to the testing and development of the Kornia library, a geometric computer vision library. Their work included writing and adding tests for core functionalities like cam2pixel and pixel2cam, and they fixed issues related to docstrings, enhancing the library's usability. Furthermore, the user's contributions show a focus on ensuring code quality through rigorous testing, fixing errors and refactoring code. Additionally, the user added a new function `solve_pnp_dlt` that solves a Perspective-n-Point (PnP) problem, demonstrating capabilities in geometry and algorithm implementation.
pytorchdifferentiablepythonvisiondeep-learning
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