opensearch-project/k-NN
Nov 2024 – Mar 2026
7 Months active
Languages Used
YAMLJavaGradleMarkdown
Technical Skills
API IntegrationCI/CDGitHub ActionsBackend DevelopmentJavaPerformance Optimization
Kunal Kotwani
PROFILE
Kunal Kotwani
Worked on the opensearch-project/k-NN repository, delivering features and fixes that modernized the plugin and improved reliability. Built custom GitHub Actions automation using Java and YAML to streamline backport branch deletion, reducing manual maintenance. Enhanced Lucene-based k-NN query performance by introducing lazy execution with a new Java wrapper class, optimizing repeated queries. Led deprecation and refactoring efforts, consolidating field mappers and updating default behaviors for better maintainability and migration readiness. Addressed search accuracy by fixing radial exact search scoring and expanded test coverage, including backward compatibility and integration tests. Contributed to release management through detailed documentation and changelog updates.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
11Total
Bugs
3
Commits
11
Features
5
Lines of code
2,675
Activity Months7
Your Network
1652 peopleWork History
March 2026
3 Commits
Mar 1, 2026Monthly summary for 2026-03 focusing on the opensearch-project/k-NN Faiss SQ encoder improvements. Delivered reliability and compatibility improvements for 1-bit compression, updated defaults for 32x compression, and expanded test coverage including backward compatibility and BwC tests to ensure upgrade safety and business value.
3 Commits
Mar 1, 2026Monthly summary for 2026-03 focusing on the opensearch-project/k-NN Faiss SQ encoder improvements. Delivered reliability and compatibility improvements for 1-bit compression, updated defaults for 32x compression, and expanded test coverage including backward compatibility and BwC tests to ensure upgrade safety and business value.
March 2026
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for opensearch-project/k-NN: Focused on improving reliability and accuracy of radial exact search. Key bug fix for score conversion to ensure correct mapping to OpenSearch score space, accompanied by tests validating radial search with cosine similarity and filtering. Delivered improved test coverage and stable search scoring, contributing to more accurate results and reduced risk of incorrect ranking for radial queries.
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for opensearch-project/k-NN: Focused on improving reliability and accuracy of radial exact search. Key bug fix for score conversion to ensure correct mapping to OpenSearch score space, accompanied by tests validating radial search with cosine similarity and filtering. Delivered improved test coverage and stable search scoring, contributing to more accurate results and reduced risk of incorrect ranking for radial queries.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 (opensearch-project/k-NN): Focused on modernizing the K-NN plugin and simplifying vector field mapping to improve maintainability, migration readiness, and cross-engine consistency. Implemented deprecation of the nmslib engine with clear user warnings and guidance toward actively maintained engines (Faiss or Lucene). Consolidated field mapping by merging MethodFieldMapper and LuceneFieldMapper into a single EngineFieldMapper, reducing complexity across engines and easing future enhancements. Updated default doc-values behavior based on the OpenSearch version to align with the deprecation and mapping changes and to improve forward-compatibility. While no explicit bug fixes are recorded for this month, the changes reduce fragmentation and edge-case inconsistencies, positioning the project for smoother upgrades and migrations. Overall impact: easier migration paths for users, reduced maintenance overhead, and improved consistency across engine integrations. Technologies/skills demonstrated: Java plugin development, deprecation tooling, refactoring of core mapping components, and version-aware configuration.
2 Commits • 1 Features
Apr 1, 2025April 2025 (opensearch-project/k-NN): Focused on modernizing the K-NN plugin and simplifying vector field mapping to improve maintainability, migration readiness, and cross-engine consistency. Implemented deprecation of the nmslib engine with clear user warnings and guidance toward actively maintained engines (Faiss or Lucene). Consolidated field mapping by merging MethodFieldMapper and LuceneFieldMapper into a single EngineFieldMapper, reducing complexity across engines and easing future enhancements. Updated default doc-values behavior based on the OpenSearch version to align with the deprecation and mapping changes and to improve forward-compatibility. While no explicit bug fixes are recorded for this month, the changes reduce fragmentation and edge-case inconsistencies, positioning the project for smoother upgrades and migrations. Overall impact: easier migration paths for users, reduced maintenance overhead, and improved consistency across engine integrations. Technologies/skills demonstrated: Java plugin development, deprecation tooling, refactoring of core mapping components, and version-aware configuration.
April 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for opensearch-project/k-NN focused on release documentation backport for version 2.19.0. Created and added release notes for 2.19.0 (2.19.0.0) and updated CHANGELOG.md, capturing the release scope (features, enhancements, bug fixes, infrastructure updates, and maintenance items) to improve release transparency and downstream readiness. The work is anchored to commit 349a7154e9579fa9d4efa6823b364c348ece172e, ensuring traceability.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for opensearch-project/k-NN focused on release documentation backport for version 2.19.0. Created and added release notes for 2.19.0 (2.19.0.0) and updated CHANGELOG.md, capturing the release scope (features, enhancements, bug fixes, infrastructure updates, and maintenance items) to improve release transparency and downstream readiness. The work is anchored to commit 349a7154e9579fa9d4efa6823b364c348ece172e, ensuring traceability.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for opensearch-project/k-NN focused on stabilizing CI and modernizing the Java baseline to enable future enhancements. Key outcomes include muting a flaky integration test to stabilize CI and upgrading the minimum Java version to JDK 21, with related updates to docs, build scripts, and CI. These changes reduce flaky CI noise, improve development velocity, and align the project with current LTS standards.
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for opensearch-project/k-NN focused on stabilizing CI and modernizing the Java baseline to enable future enhancements. Key outcomes include muting a flaky integration test to stabilize CI and upgrading the minimum Java version to JDK 21, with related updates to docs, build scripts, and CI. These changes reduce flaky CI noise, improve development velocity, and align the project with current LTS standards.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024Month 2024-12: Delivered a performance-focused feature for k-NN queries in OpenSearch. Implemented Lucene kNN Lazy Execution Optimization by introducing a new wrapper class, LuceneEngineKnnVectorQuery, which defers query rewrites until weight creation. This reduces repeated rewrites and lowers CPU overhead for repeated k-NN queries, improving latency and scalability in Lucene-based k-NN operations. Related commit: 2b9a741a7cfb8c9a55c7412a6e19ea699b7a921d (Adds in lazy execution for Lucene kNN queries, #2305).
December 2024
1 Commits • 1 Features
Dec 1, 2024Month 2024-12: Delivered a performance-focused feature for k-NN queries in OpenSearch. Implemented Lucene kNN Lazy Execution Optimization by introducing a new wrapper class, LuceneEngineKnnVectorQuery, which defers query rewrites until weight creation. This reduces repeated rewrites and lowers CPU overhead for repeated k-NN queries, improving latency and scalability in Lucene-based k-NN operations. Related commit: 2b9a741a7cfb8c9a55c7412a6e19ea699b7a921d (Adds in lazy execution for Lucene kNN queries, #2305).
November 2024
1 Commits • 1 Features
Nov 1, 2024Delivered Reliable Backport Branch Deletion Automation for opensearch-project/k-NN, replacing a third-party GitHub Action with a custom GitHub API-based script, and added repository-specific safeguards to prevent cross-repo deletions. Implemented a fix for backport branch deletion on merge to improve reliability and reduce manual maintenance.
1 Commits • 1 Features
Nov 1, 2024Delivered Reliable Backport Branch Deletion Automation for opensearch-project/k-NN, replacing a third-party GitHub Action with a custom GitHub API-based script, and added repository-specific safeguards to prevent cross-repo deletions. Implemented a fix for backport branch deletion on merge to improve reliability and reduce manual maintenance.
November 2024
Activity
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Quality Metrics
Correctness93.6%
Maintainability88.2%
Architecture86.4%
Performance78.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
GradleJavaMarkdownYAML
Technical Skills
API DesignAPI IntegrationBackend DevelopmentBuild SystemsCI/CDCode ConsolidationDeprecationDocumentationGitHub ActionsIntegration TestingJavaJava DevelopmentKNN algorithmsLoggingMapper Implementation
Repositories Contributed To
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