Bora Arslan is a backend developer with 7 years of experience building reliable, cloud-native search and ingestion systems from Türkiye. He contributes to notable open-source projects like Quickwit and Tantivy, where he implemented deep boolean-field support, fast field readers/writers, indexing fixes, and resilient Kinesis retry logic—work that underscores a strong grasp of search engine internals and production reliability. Currently at ShowSeeker, Bora blends backend engineering with DevOps sensibilities, improving observability, S3-compatible storage logging, and ingestion metrics. Curious and methodical by nature—he embraces the "boredom where creativity is born" philosophy—he focuses on pragmatic, test-driven changes that make complex distributed systems simpler to operate.
7 years of coding experience
1 year of employment as a software developer
Lisans Derecesi, Bilgisayar Mühendisliği, Lisans Derecesi, Bilgisayar Mühendisliği at Karadeniz Teknik Üniversitesi
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:48 reviews, 68 commits, 97 PRs in 8 months
Contributions summary:Bora primarily focused on enhancing the Quickwit search engine's backend functionality, particularly related to data ingestion and AWS integration. They implemented retry logic for Kinesis API calls, a crucial aspect for handling potential network issues and ensuring data reliability. The user also contributed to improving the system by adding new features like Boolean field support, and metrics for ingestion, showing expertise in core engine development. Furthermore, the user added logs to the S3 compatible storage, which enhanced system monitoring.
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
Role in this project:
Back-end Developer
Contributions:7 reviews, 20 commits, 3 PRs in 6 months
Contributions summary:Bora primarily focused on implementing and fixing functionality related to boolean data types within the Tantivy search engine. They addressed indexing issues, implemented fast field readers and writers for boolean values, and added corresponding tests to validate the correct behavior of boolean fields. The user also made modifications to the schema definition and query parsing to accommodate boolean data types, indicating a comprehensive understanding of the library's internal mechanisms.
full-text-searchrustfull-textindexingapache
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