Ali-adeeb Abbas

Senior Applied Scientist, AI Robotics at General Motors

Boston, Massachusetts, United States
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Summary

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Ali-adeeb Abbas is a Senior Applied Scientist specializing in AI robotics with seven years of experience building foundation-model-driven perception and control systems for dexterous manipulation and dual-arm robots. Currently at General Motors after roles at the RAI Institute and Amazon Robotics, he bridges research and production: shipping C++ controllers with Drake, fast dataset pipelines using PyCUDA/OpenCL, and scalable preprocessing that cut memory footprints dramatically. He holds a PhD track at Northeastern and a BS in ECE from Drexel, where he produced state-of-the-art modulation classifiers and automated radio testbeds—work that translated into conference-ready results and a funded undergraduate grant. Notable for speeding dataset generation by 50x and for implementing real-world perception-based grasping pipelines, he combines hands-on systems engineering with deep learning for robotics at scale.
code8 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Northeastern University
bookBachelor of Science, ECE, Bachelor of Science, ECE at Drexel University College of Engineering
languagesEnglish, Arabic
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Github Skills (98)

python10
gtk10
robotics10
qt10
raspberry-pi-camera10
arduino-ide10
raspberry-pi-pico10
asciidoc10
matplotlib10
modulation10
ide10
arduino10
wireless9
neural-network9
data-visualization9

Programming languages (12)

JavaDockerfileC++StarlarkCCMakeTeXJavaScript

Github contributions (5)

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adeeb10abbas/playground

Jul 2020 - Nov 2022

Contributions:2 PRs, 8 pushes, 2 branches in 2 years 4 months
drexelwireless/RadioML

Jun 2020 - Mar 2023

Code for "Radio Modulation Classification Using Deep Residual Neural Networks" paper
Contributions:65 commits, 2 PRs, 59 pushes in 2 years 9 months
classificationneural-networkmachine-learningmodulation
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