Rajath Koratagere Manjunath
Software Engineer at Amazon
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolRajath Koratagere Manjunath is a software engineer based in San Diego with eight years of experience building perception, planning, and control systems for self-driving cars and robotics. His work bridges research and production—ranging from a neural, field-controlled motion planner developed at NYU that cut planning computation by 90% for a 7DoF robot to vehicle perception stacks using LaneNet and YOLO. He has applied these skills in industry roles at XPENG and Amazon, focusing on integrating computer vision with motion planning and model predictive control. Rajath combines electrical engineering roots and hands-on hardware experience (Arduino, XBee, drone stabilization) with deep learning and algorithmic research, making him effective at moving ideas from prototype to deployed systems. An enthusiast for robotics and AI, he favors practical, computation-efficient approaches that preserve solution quality while drastically reducing runtime.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering, Electrical, Electronic and Communications Engineering Technology/Technician, Bachelor of Engineering, Electrical, Electronic and Communications Engineering Technology/Technician at Visvesvaraya Technological UniversityMaster of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at New York University
Github Skills (10)
planning6
python4
arm3
neural-network2
motion-tracking2
simulation1
depth-estimation1
intrinsics1
motion-planning1
optical-flow1
Programming languages (4)
Github contributions (5)
rajathkmanjunath/Advanced_lane_finding
Jan 2020 - Dec 2024
Contributions:2 pushes, 1 branch in 4 years 11 months
rajathkmanjunath/Motion-Planning-Network
Apr 2020 - Sep 2020
Planning the motion of Panda arm using Neural Network
Contributions:48 commits, 4 PRs, 61 pushes in 5 months
pythonmotionneural-networkpandaplanning
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