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Daniel Tunkelang

High-Class Consultant

Daniel Tunkelang is a seasoned professional with a strong background in search, recommender systems, and machine learning/AI.

Daniel holds degrees in Computer Science and Mathematics from the prestigious Massachusetts Institute of Technology (MIT) and a PhD in Computer Science from Carnegie Mellon University (CMU).

With a wealth of experience, Daniel has worked at renowned organizations including Google, LinkedIn, and Endeca, serving in various capacities such as Director of Engineering, Search at LinkedIn and Chief Scientist at Endeca.

Daniel has also lent his expertise as a consultant, advisor, and data scientist to a multitude of companies ranging from tech giants like Apple and eBay to emerging startups like Canva and Algolia.

As a high-class consultant and former Director of Engineering, Daniel offers invaluable insights and solutions to businesses seeking to enhance their search capabilities and maximize revenue.

For more details on Daniel's professional background and services, visit his LinkedIn profile: https://www.linkedin.com/services/page/940b5530a2a1550693/

Highlights

Sep 10 · linkedin
Aug 16 · linkedin

I understand that product reviews are subject to fraud and abuse. Nonetheless, average ratings and -- more importantly -- review counts serve as valuable signals. I cannot see how Amazon serves its customers better by hiding them.

Daniel Tunkelang
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Location

Mountain View, California, United States