Ali Taghibakhshi
Software Engineer at NVIDIA
Austin, Texas Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolAli Taghibakhshi is a deep learning algorithm engineer at NVIDIA with a PhD from UIUC and five years of experience building reinforcement learning, graph neural networks, and large-scale generative vision-language models. His research-driven background—coalescing a near-perfect academic record in mechanical engineering and applied statistics—has led to publications at NeurIPS and ICML and practical wins like a hierarchical GNN with cross-attention that improved cross-device user matching by 5%. He has applied RL and computer vision to real-world robotics problems at John Deere, from automated docking and parking assists to precision planting and noise-robust sensing. Based in Austin, he blends rigorous scientific ML foundations with product-oriented engineering, regularly presenting work to senior leadership. Colleagues would note his uncommon combination of mathematical rigor (Math Olympiad teaching) and hands-on deployment experience across industrial and research settings.
4 years of coding experience
2 years of employment as a software developer
Mathematical Olympiad, Mathematical Olympiad at Young Scholars ClubDoctor of Philosophy- Ph.D., Mechanical Engineering: Scientific Machine Learning, 3.98/4.0, Doctor of Philosophy- Ph.D., Mechanical Engineering: Scientific Machine Learning, 3.98/4.0 at University of Illinois Urbana-ChampaignBachelor of Science (B.Sc.), Mechanical Engineering, 3.91/4, Bachelor of Science (B.Sc.), Mechanical Engineering, 3.91/4 at Sharif University of Technology
Persian, English
Github Skills (40)
speaker-diarization10
speech-to-text10
machine-translation10
language-model10
speech-synthesis10
multimodal10
text-normalization10
large-language-models10
nmt10
deep-learning10
generative-ai10
speaker-recognition10
natural-language-processing10
asr10
conversational-ai10
Programming languages (2)
Github contributions (5)
compdyn/rl_grid_coarsen
May 2021 - Oct 2021
Contributions:13 commits, 16 pushes in 4 months
JRD971000/scale-mggnn
Jan 2023 - Feb 2023
Contributions:38 pushes, 6 branches in 29 days
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