Yaadhav Raaj
Software Engineer at Amazon Fulfillment Technologies & Robotics
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolYaadhav Raaj is a software engineer with 13 years of experience building perception and robotics systems, currently working on fulfillment technologies and robotics at Amazon. He combines academic research (CMU graduate work on Light Curtain and RGB fusion with CVPR/ECCV publications) with hands-on product deployments—leading perception development and a patent-pending 6DOF detection/tracking system at Agility Robotics that supports Amazon and GXO deployments. A core contributor to CMU’s widely used OpenPose project, he implemented optimized CPU pathways and key backend refinements that broadened the library’s portability. His background spans embedded and large-scale systems from gantry robots deployed at Singapore Changi Airport to underwater vehicle localization and CUDA tooling for autonomous vehicle labeling at Uber. Comfortable shipping both research and production code, he brings a pragmatic blend of systems-level thinking, performance optimization, and field deployment experience.
13 years of coding experience
11 years of employment as a software developer
Stanford University Stanford Center for Professional Development Entrepreneurship/Entrepreneurial, Stanford University Stanford Center for Professional Development Entrepreneurship/Entrepreneurial at Stanford UniversityMaster's degree Robotics, Master's degree Robotics at Carnegie Mellon UniversityBachelor's degree Electrical and Computer Engineering, Bachelor's degree Electrical and Computer Engineering at National University of Singapore
English, Tamil
Github Skills (14)
computer-vision10
opencv10
c-language10
caffe10
cprogramming-language10
optimisation10
pose-estimation10
keypoint10
feature-detection10
optimization10
deep-learning9
cpp9
cmake8
machine-learning8
Programming languages (14)
Github contributions (5)
CMU-Perceptual-Computing-Lab/openpose
Jan 2018 - Nov 2019
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Role in this project:
Backend Developer
Backend DeveloperContributions:26 commits, 25 PRs, 239 comments in 1 year 9 months
Contributions summary:Yaadhav contributed to the OpenPose library by implementing and refining CPU-only versions of key functionalities. This included converting Caffe to a submodule, adding support for display features in QtCreator, implementing and optimizing resizing and merging CPU functions, and addressing bug fixes. They also worked on specific extractor implementations and performed general cleanup and code adjustments to enhance the library.
multi-personhuman-behavior-understandingreal-timedetection-libraryhuman-pose
soulslicer/OctreeOCL
Mar 2017 - Feb 2018
Contributions:10 commits, 28 pushes, 1 branch in 11 months
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