Sharath Avadhanam
Product Manager at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolSharath Avadhanam is a product-focused engineering leader with 10 years of applied research and product delivery experience in aerospace and automotive autonomy, now building product at NVIDIA after leading motion planning and controls at Lucid Motors. He has repeatedly scaled teams and systems—architecting safe, production-grade planning and control stacks for ADAS/AD, owning roadmaps, functional-safety workflows and large-team execution to ship highway and parking features. Hands-on across C/C++, Python and MATLAB, his background spans trajectory planning, state estimation, sensor fusion and on-vehicle tuning, with prior UAV collision-avoidance and passive ranging work that informed robust tracking and calibration tools. He combines deep research instincts from UIUC with product rigor, having established test-at-scale and SW FMEA processes adopted across ADAS teams. Sharath also contributes practical open-source tooling and references for motion planning and UAV simulation, signaling a continuous bridge between research implementations and production systems.
10 years of coding experience
13 years of employment as a software developer
Indian Institute of Technology MadrasMasters IESE(GE), Masters IESE(GE) at University of Illinois Urbana-Champaign
English, Hindi, Telugu
Github Skills (4)
simulation9
simulator9
python7
autopilot6
Programming languages (1)
Github contributions (3)
savadha2/Motion-Planning-for-Autonomous-Cars-Quick-Reference
Aug 2019 - Feb 2020
Contributions:49 commits, 49 pushes, 22 branches in 6 months
savadha2/PyUAVSim
Aug 2015 - Nov 2018
Python simulator for small UAVs that can be used for designing and tuning autopilots
Contributions:62 commits, 86 pushes, 1 branch in 3 years 3 months
pythonsimulationsimulatoruavstuning
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