Nikhil Mohan
Member Of Technical Staff at Prometheus
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolNikhil Mohan is a Simulation Research Lead based in London with seven years of experience building perception and simulation systems for autonomous vehicles. At Wayve he progressed from Applied Scientist to leading teams in 3D perception, driving performance, and now simulation research, combining hands-on model development with engineering leadership. He has a strong academic grounding from Carnegie Mellon (BS/MS ECE) and a background in robotics research and teaching that informs rigorous experimentation and reproducible pipelines. On GitHub he contributed backend and ML engineering fixes to nerfstudio—improving data pipelines, semantic segmentation support, and robustness to NaNs—highlighting a focus on efficient data processing for neural rendering workflows. Colleagues know him for bridging research and production, tackling subtle training and data issues that unlock model reliability at scale.
7 years of coding experience
4 years of employment as a software developer
High School IB, High School IB at Canadian internation schoolMaster's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at Carnegie Mellon University
Github Skills (11)
computer-vision10
pytorch10
machine-learning10
serf10
deep-learning10
python10
3d-reconstruction10
data-pipelines9
data-pipeline9
debugging9
3d-graphics8
Programming languages (2)
Github contributions (5)
nerfstudio-project/nerfstudio
Nov 2022 - Dec 2022
A collaboration friendly studio for NeRFs
Role in this project:
Back-end Developer / ML Engineer
Back-end Developer / ML EngineerContributions:15 reviews, 7 commits, 15 PRs in 1 month
Contributions summary:Nikhil primarily contributed to the Nerfstudio project by refactoring the data pipeline, implementing semantic segmentation features, and debugging training issues related to NaN values. They introduced and modified key components within the viewer and model, making significant code changes related to data handling, including supporting downsampling in datasets, which points to a focus on improving data processing and model training efficiency. The contributions show clear involvement in modifying the core functionality of the NeRF pipeline.
pytorchphotogrammetrydeep-learningcomputer-vision3d-reconstruction
nikmo33/nerfstudio
Oct 2022 - Oct 2023
A collaboration friendly studio for NeRFs
Contributions:4 PRs, 74 pushes, 9 branches in 1 year
collaboration
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