Akash Ganesan
Graduate Research Assistant
Detroit Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAkash Ganesan is a research-focused engineer with 10 years of experience combining VLSI design and deep learning to build robust, real-time perception systems. As a Graduate Research Assistant at the University of Michigan, he develops and implements state-of-the-art adversarial attacks and defenses in PyTorch while exploring specialized hardware to accelerate robust DL for autonomous vehicle perception. He has hands-on experience adapting and improving SOTA pedestrian trajectory models (DESIRE) across real-world datasets like PedX and Stanford Drone, and a background in verification and ASIL-compliant SoC work from industry roles at Apple and Analog Devices. His uncommon blend of top-tier VLSI training (IIT Guwahati) and practical ML research enables him to bridge algorithmic robustness with hardware-aware system design.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Signal processing, Image Processing and machine learning, Master's degree, Signal processing, Image Processing and machine learning at University of MichiganMaster's degree, VLSI Design, 9.63/10, Master's degree, VLSI Design, 9.63/10 at Indian Institute of Technology, GuwahatiBachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Hindustan College of Engineering, Chennai
English
Github Skills (69)
vim10
spacemacs10
emacs10
extraction10
emacs-lsp9
melpa9
adversarial-machine-learning9
nlp8
robustness8
lda8
adversarial-attacks8
toolbox8
flexibility8
sentiment8
flux8
Programming languages (6)
Github contributions (5)
AkashGanesan/desire-pytorch
Dec 2018 - Apr 2019
Contributions:75 commits, 1 branch in 3 months
AkashGanesan/videoQA
Feb 2018 - Sep 2018
Contributions:56 commits, 22 pushes, 1 branch in 7 months
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