Pedro Szekely
Applied Principal Scientist at Amazon
El Segundo, California, United States
Summary
👤
Senior🎓
Top SchoolPedro Szekely is an Applied Principal Scientist at Amazon AGI with 14 years of experience applying advanced research to real-world web and information-integration problems. He holds a Ph.D. in Computer Science from Carnegie Mellon and a BS from Universidad de Los Andes, blending deep academic rigor with product-focused engineering. At Amazon he leads work at the intersection of AI and web-scale systems, turning research prototypes into production-capable solutions. His open-source contributions include backend development on the Web-Karma information integration tool, where he helped build table-view data structures and tree-based representations for cleaner data extraction. Colleagues describe him as a scientist-engineer who bridges theory and implementation, favoring pragmatic designs that reveal hidden structure in messy web data. Based in El Segundo, CA, he brings a long-term perspective to building robust, explainable AI components for web understanding.
14 years of coding experience
Anglo ColombianoDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Carnegie Mellon UniversityUniversidad de los Andes
Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (3)
java10
javas10
software-design8
Programming languages (9)
Github contributions (5)
usc-isi-i2/Web-Karma
Sep 2011 - Dec 2016
Information Integration Tool
Role in this project:
Back-end Developer
Back-end DeveloperContributions:339 commits, 11 pushes, 36 comments in 5 years 3 months
Contributions summary:Pedro's commits primarily focused on modifying the `VHTreeNodeLevel.java` file, adding comments and revising class comments. They also added classes for computing the table view by creating and modifying `VDTableData.java`, `VDTreeNode.java`, and `VDRow.java`. Furthermore, the user contributed to constructing the tree of `VDTreeNode` objects and made changes to support the display of tables.
json-ldjsonldtriplestorelinked-datar2rml
usc-isi-i2/dig-dictionaries
Sep 2016 - Sep 2018
Useful dictionaries for DIG
Contributions:20 commits, 1 PR, 16 pushes in 2 years
pythondiglinguisticscreative-commonsfrench
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