Tor Egge
Senior Principal Software Engineer at Vespa.ai
Trondheim, Trøndelag, Norway
Summary
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Rockstar🎓
Top SchoolTor Egge is a Senior Principal Software Engineer with over 10 years of focused experience in backend systems and search infrastructure, currently contributing to Vespa.ai’s engine development from Trondheim, Norway. His career spans long tenures at Yahoo and related groups (Overture, Verizon Media, Oath) and earlier research roles, reflecting deep expertise in scalable search, document handling, and persistence testing. At Vespa he has implemented and refactored core search and document libraries, improving string processing and multi-shard persistence conformance—work that directly supports a widely used open-source AI+data platform. Known for combining research-grade rigor with production engineering, he consistently bridges algorithmic insight and robust testing to make complex search systems reliable in the wild. Educated as a sivilingeniør in computer science from NTH, he brings decades of domain continuity and a pragmatic, test-first mindset to large distributed search systems.
9 years of coding experience
28 years of employment as a software developer
Sivilingeniør, Computer Science, Sivilingeniør, Computer Science at NTH
Github Skills (16)
c-language10
cprogramming-language10
testing9
optmization9
optimisation9
seo9
search-engine9
data-structure7
data-structures7
algorithm7
algorithms7
build-system7
cmake7
datastructures-algorithms7
performance-tuning6
Programming languages (6)
Github contributions (5)
vespa-engine/vespa
Jun 2016 - Jan 2023
AI + Data, online. https://vespa.ai
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1616 reviews, 2280 commits, 3655 PRs in 6 years 8 months
Contributions summary:Tor contributed to the Vespa engine, focusing on the implementation and testing of various backend functionalities. Their work involved modifying code related to the search core, and the document and search libraries, including the implementation of new features and the refactoring of existing functionality. These modifications included handling issues with string processing, and improved testing by utilizing multiple shards for persistence conformance tests.
vespacppservingpythondata-science
toregge/ann-benchmarks
May 2021 - Mar 2025
Benchmarks of approximate nearest neighbor libraries in Python
Contributions:87 pushes, 21 branches in 3 years 10 months
pythonnearest-neighbornearestbenchmarknearest-neighbors
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