Subramanian Krishnan
Sr. Autonomous Vehicles Engineer at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolSubramanian Krishnan is a Senior Autonomous Vehicles Engineer with eight years of hands-on experience building perception, localization, and mapping systems for robotic and automotive platforms. A Carnegie Mellon Robotics Institute graduate, he has led localization and SLAM work for autonomous garage navigation projects and shipped production computer-vision features like 3D laneline tracking, online mapping, and lane semantics at XPENG before joining NVIDIA. His strengths span ROS-based system design, probabilistic estimation (EKF/SLAM), multi-view reconstruction, and practical optimization methods, enabling end-to-end stacks from sensors to KPIs and debug tooling. He blends academic rigor with product focus—often owning both algorithm development and the metrics/tools needed to operationalize it. Based in California, he’s comfortable moving between low-level perception pipelines and higher-level planning, and has a track record of turning research ideas into robust fielded systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology Control and Instrumentation, Bachelor of Technology Control and Instrumentation at National Institute of Technology, TiruchirappalliMaster's degree Robotic Systems Development, Master's degree Robotic Systems Development at Carnegie Mellon University1st Class Computer Science, 1st Class Computer Science at The PSBB Millennium School
English, Tamil, Hindi
Github Skills (15)
efficientnet8
object-detection6
pepper6
robotics5
pytorch5
gradient-descent3
voc3
visual-odometry2
javascript2
cpp2
python2
xml2
graph2
json1
coco1
Programming languages (3)
Github contributions (5)
SubramanianKrish/roblineVO
Sep 2020 - Jan 2021
Robust Line based Visual odometry using RGB-D images
Contributions:3 reviews, 9 PRs, 29 pushes in 3 months
visual-odometry
SubramanianKrish/poseGraphOptimization_SGD
Dec 2020 - Jan 2021
A python implementation of 2D (3 DOF) Pose Graph optimization using modified Gradient Descent
Contributions:2 commits, 2 PRs, 3 pushes in 1 month
gradient-descentgraphpython
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