Neil Adit
ML Research Scientist at Meta
Town of Ithaca, New York, United States
Summary
👤
Senior🎓
Top SchoolNeil Adit is an ML research scientist specializing in hardware/software co-design for large-scale recommendation system models, currently driving foundation-model efficiency efforts at Meta. He holds a PhD from Cornell and spent his doctoral years researching the intersection of efficient machine learning, compilers, and computer architecture, with internships at Google, Microsoft Research, and Intel Labs that translated theory into optimized kernels and structured-sparsity algorithms. With a decade of experience spanning academic research, industrial internships, and hands-on electrical-system design from his IIT Bombay days, he brings a rare combination of low-level systems know-how and ML algorithmic insight. Based in Ithaca, he combines rigorous empirical work with practical deployment focus—often tackling sparse compute and compiler-aware model optimizations that are easy to overlook but crucial for production-scale recommendations.
10 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology BombayDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Cornell University
Hindi, English
Github Skills (46)
python10
machine-learning10
gpu10
programming-language9
numpy9
neural-network9
deep-learning9
compiler9
gpu-acceleration8
autograd8
tensorflow8
acceleration8
intermediate8
tensor8
feature-extraction8
Programming languages (7)
Github contributions (5)
neiladit/neiladit.github.io
Apr 2019 - May 2020
Contributions:75 pushes, 1 branch in 1 year
neiladit/bril
Oct 2019 - Oct 2019
an educational compiler intermediate representation
Contributions:21 pushes, 1 branch in 20 days
representationcompilerscompiler-constructioncompiler-designcompiler
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