Eyal Shafran
Staff AI Scientist at Intuit
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolEyal Shafran is a Staff Data Scientist at Intuit with a decade of experience translating advanced physics and optics research into production-ready AI and data systems. A University of Utah Ph.D. in physics, he progressed from microscopy and computational optics research into industry roles where he built computer vision, denoising, and large-scale data pipelines. At Intuit he’s moved into technical leadership, guiding applied ML work that balances rigorous statistical modeling with pragmatic engineering. His background in real-time analysis, TB-scale data handling, and algorithm optimization gives him a rare mix of deep quantitative expertise and hands-on software delivery. Colleagues rely on him for rapid prototyping and system-level troubleshooting rooted in years of instrument- and experiment-driven development. Based in Salt Lake City, he blends academic rigor with product-focused pragmatism to ship robust AI solutions.
10 years of coding experience
15 years of employment as a software developer
The University of UtahMaster of Science (M.Sc.) Physics, Master of Science (M.Sc.) Physics at Ben-Gurion University of the Negev
Github Skills (57)
anomaly-detection10
data-mining10
forecasting10
forecast10
data-science9
pytorch9
python9
machine-learning9
time-series9
natural-language-processing9
scikit-learn9
ai9
audio9
3d-models9
nlp9
Programming languages (4)
Github contributions (5)
eyalshafran/DoingTheDishes
Oct 2018 - Jan 2021
Contributions:10 commits, 6 pushes, 1 branch in 2 years 2 months
eyalshafran/NBAapi
Mar 2017 - Nov 2017
Extract information from NBA api
Contributions:9 commits, 7 pushes, 1 branch in 7 months
nba-api
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