When he was 10 years old, Alam helped at his school library, which was all run by children. He said he learned a lot about sorting, indexing and categorizing books—the beginning of a lifelong passion.
Nearly two decades later, Alam completed his PhD in computer science with a specialty in web archiving from Old Dominion University. He was part of the Web Science and Digital Libraries Research Group at the university.
Alam joined the staff of the Internet Archive as a web and data scientist in 2020. Working with the Wayback Machine team, Alam supports researchers from all around the world conducting analyses with Internet Archive collections. When someone has a research question that involves interaction with Wayback Machine APIs or downloading phone number database a large number of archived web pages, he helps prepare the data and provides technical assistance. Alam tries to improve the discoverability of items in massive web collections. His data insights and quality assurance efforts enhance web crawling and Wayback Machine operations.
Alam also collaborates with partners from academia, industry, and organizations on various research, development and standardization efforts. His own research has focused on archive profiling, interoperability and cooperation among archives, which are all topics the data scientist writes about and shares on Twitter.
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