Mehdi Aghagolzadeh
Lead Principal Scientist at The Trade Desk
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolMehdi Aghagolzadeh is a Lead Principal Scientist with two decades of experience building large-scale ML systems across LLMs, forecasting, recommendation engines, generative models, graph ML and signal processing. He has a strong track record delivering 0→1 platforms and productionized models at Meta, Microsoft and The Trade Desk, where he led the AI-Lab and created a forecasting backbone that powers planning, recommendations and diagnostics. A PhD-trained researcher with postdoctoral work in computational neuroscience and brain–machine interfaces, Mehdi blends deep theoretical insight with hands-on systems engineering—from distributed GPU training and compressed communication collectives to agentic ad-serving architectures. He’s known for improving training efficiency at scale (e.g., hierarchical distributed training for BERT) and for translating academic advances into production impact in advertising and speech systems. Based in the Greater Seattle Area, he combines leadership of cross-functional ML organizations with a knack for turning research prototypes into reliable platform layers.
10 years of coding experience
10 years of employment as a software developer
Post Doctoral Research Associate Computational Neuroscience, Post Doctoral Research Associate Computational Neuroscience at Brown UniversityMaster of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at University of TehranDoctor of Philosophy (PhD) Electrical and Computer Engineering, Doctor of Philosophy (PhD) Electrical and Computer Engineering at Michigan State University
Persian, English
Github Skills (11)
computer-vision10
pytorch10
machine-learning10
cntk10
deep-learning10
python10
java10
tensorflow9
deep-neural-networks9
microsoft9
neural-network9
Programming languages (1)
Github contributions (2)
Aghagolzadeh/First-Package
May 2016 - May 2016
Contributions:2 PRs, 2 pushes, 3 branches in 1 day
javascriptsharingsimultaneously
microsoft/CNTK
Apr 2018 - Feb 2019
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Contributions:29 commits, 1 PR, 17 pushes in 9 months
pytorchpythondeep-learningc-plus-plusmachine-learning
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