Walid Shalaby
Senior Data Scientist Applied Machine Learning
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolWalid Shalaby is a Senior Data Scientist in applied machine learning at Google with 12 years of experience bridging research and production systems. He holds a PhD in Computer Science from UNC Charlotte and has built concept-based semantic representations (including the patent-pending Mined Semantic Analysis) to improve semantic search, tagging, and entity understanding. His background spans industry and research roles at Home Depot, Hitachi, Samsung Research, and CareerBuilder, where he delivered scalable, data-intensive backends and recommendation engines for real-world products. Walid combines deep NLP research—such as unsupervised pretraining and concept-aware architectures—with hands-on engineering in C++, Java, and Python, enabling rapid prototyping to production. Based in the San Francisco Bay Area, he’s equally comfortable designing algorithms and implementing large-scale systems, reflecting a rare blend of academic rigor and production engineering.
12 years of coding experience
12 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of North Carolina at CharlotteMSc, Computer Science, MSc, Computer Science at Cairo University
Github Skills (7)
unc9
nlp6
natural-language-processing5
question-answering5
machine-learning3
tensorflow2
deep-learning2
Programming languages (2)
Github contributions (5)
walid-shalaby/patents-indexer
May 2016 - Apr 2017
Contributions:3 commits, 2 pushes, 3 branches in 10 months
walid-shalaby/semantic_searcher
Mar 2015 - Mar 2017
Contributions:23 pushes, 11 branches in 2 years
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