Ali Taghibakhshi

DevOps Engineer

Austin, Texas, United States2 yrs 7 mos experience

Highly StableAI ML Practitioner

Key Highlights

PhD in Mechanical Engineering with a focus on Scientific Machine Learning.
Developed a high-performing graph neural network model at NVIDIA.
Consistently achieved high academic performance with a GPA of 3.98.

Stackforce AI infers this person is a Deep Learning Engineer with expertise in AI and Machine Learning.

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Skills

Core Skills

Artificial Intelligence (ai)Machine Learning

Other Skills

Deep LearningGraph Neural NetworksCross-Attention MechanismStatisticsComputer VisionSolidWorksMATLABSimulinkMolecular DynamicsCOMSOLPython (Programming Language)C (Programming Language)Data ScienceReinforcement LearningMachine Learning Algorithms

Experience

2 yrs 7 mos

Total Experience

2 yrs 7 mos

Average Tenure

2 yrs 7 mos

Current Experience

Nvidia

4 roles

Senior Deep Learning Algorithm Engineer

Promoted

Mar 2026 – Present · 2 mos

Working on Deep Learning Efficiency

Deep Learning Algorithm Engineer

Sep 2023 – Feb 2026 · 2 yrs 5 mos

Working on multimodal generative AI

Deep Learning Algorithm

May 2023 – Aug 2023 · 3 mos

Deep Learning Algorithm

May 2022 – Aug 2022 · 3 mos · Santa Clara, California, United States · Remote

I worked in a team of deep learning algorithm engineers and NVIDIA researchers during my internship. I developed a new hierarchical graph neural network model leveraging a cross-attention mechanism for entity resolution tasks. Specifically, I developed the model for the cross-device user matching problem, and the model achieves significantly better performance (5%) compared to the state-of-the-art. I presented this work at an internal main event held by the Vice President of engineering at NVIDIA.