Augustas Skaburskas
Senior Full Stack Engineer at Weaviate
Vilnius, Vilnius County, Lithuania
Summary
🤩
Rockstar🎓
Top SchoolAugustas Skaburskas is a Senior Full Stack Engineer with 11 years in software development and 8 years focused on building B2C, B2B and SaaS web applications. He blends frontend UX sensibility with backend, data-pipeline and k8s infrastructure experience, preferring pragmatic, elegant solutions and actively avoiding overengineering. Comfortable working with minimal guidance, he learns fast and quickly grasps problems from little context, often questioning specs to solve the underlying user problem. His recent contributions to the open-source Weaviate vector database highlight backend work on text-to-vector integration, model configuration and cluster-aware features. Based in Vilnius, he thrives in roles that grant autonomy and emphasize shipping simple, user-centered systems at scale.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Software Engineering, Bachelor of Software Engineering at Vilniaus universitetas / Vilnius University
English, Lithuanian
Github Skills (17)
vector-search10
embed10
apidoc10
word-embeddings10
vector-database10
semantic-search10
go10
api10
embedding10
nearest-neighbors9
package-development9
plugin-development9
drupal-module9
nearest-neighbor-search9
authentication8
Programming languages (4)
Github contributions (5)
weaviate/weaviate
Dec 2024 - Mar 2025
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 5 PRs, 8 pushes in 2 months
Contributions summary:Augustas primarily contributed to the backend functionality of the Weaviate vector database. Their work involved modifying code related to the text2vec-weaviate module, including rate limit removal, authorization header reuse, and default model changes. They also made changes to class settings and test files, indicating a focus on model validation and configuration management. Additionally, they addressed the inclusion of a cluster URL and embedding model headers.
approximate-nearest-neighbor-searchsemantic-search-enginehnswfaultsimilarity-search
tieto-lt/MSI-2015-JAVA
Aug 2015 - Oct 2015
Contributions:139 pushes in 2 months
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