opensearch-project/k-NN
Nov 2024 – Jul 2026
11 Months active
Languages Used
YAMLJavaGradleMarkdownPythonShell
Technical Skills
API IntegrationCI/CDGitHub ActionsBackend DevelopmentJavaPerformance Optimization
Kunal Kotwani
PROFILE
Kunal Kotwani
Worked extensively on the opensearch-project/k-NN repository, delivering features and fixes that modernized the plugin and improved reliability, performance, and maintainability. Developed custom GitHub API automation for branch management, optimized Lucene k-NN query execution, and upgraded Java compatibility to JDK 21. Led deprecation and refactoring efforts for vector field mapping, enhanced compression and search accuracy, and expanded backward compatibility and integration test coverage across Faiss and Lucene engines. Utilized Java, Python, and Gradle to implement robust CI/CD pipelines, strengthen test automation, and align with evolving OpenSearch and Lucene standards, ensuring safer upgrades and streamlined release management for the project.
Overall Statistics
Feature vs Bugs
69%Features
Repository Contributions
16Total
Bugs
4
Commits
16
Features
9
Lines of code
208,905
Activity Months11
Your Network
1838 peopleWork History
July 2026
1 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for opensearch-project/k-NN: Key features delivered include a major upgrade to Apache Lucene 10.5.0 with a vector codec refactor, along with supportive build tooling and repository configuration changes. Major bugs fixed: none reported for this period. Overall impact and accomplishments: enhanced search performance and accuracy through the Lucene upgrade and vector codec refactor, improved maintainability from tooling updates, and increased CI/build stability due to repository URL reordering. Technologies/skills demonstrated: Java/Maven builds, Apache Lucene internals and vector codec design, code refactoring, Spotless code formatting tool, and repository/configuration management.
1 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for opensearch-project/k-NN: Key features delivered include a major upgrade to Apache Lucene 10.5.0 with a vector codec refactor, along with supportive build tooling and repository configuration changes. Major bugs fixed: none reported for this period. Overall impact and accomplishments: enhanced search performance and accuracy through the Lucene upgrade and vector codec refactor, improved maintainability from tooling updates, and increased CI/build stability due to repository URL reordering. Technologies/skills demonstrated: Java/Maven builds, Apache Lucene internals and vector codec design, code refactoring, Spotless code formatting tool, and repository/configuration management.
July 2026
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026: Delivered cross-engine integration tests for 32x compression (SQ 1-bit) in opensearch-project/k-NN, validating symmetric coverage and recall across Faiss and Lucene. This adds robust test coverage, enabling safer releases and faster QA feedback. No major bugs fixed in this repository this month. The work strengthens reliability of 32x compression features and demonstrates effective cross-engine collaboration and test automation.
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026: Delivered cross-engine integration tests for 32x compression (SQ 1-bit) in opensearch-project/k-NN, validating symmetric coverage and recall across Faiss and Lucene. This adds robust test coverage, enabling safer releases and faster QA feedback. No major bugs fixed in this repository this month. The work strengthens reliability of 32x compression features and demonstrates effective cross-engine collaboration and test automation.
May 2026
2 Commits • 1 Features
May 1, 2026Month: 2026-05 — Focused on reliability, correctness, and upgrade safety for the k-NN plugin in opensearch-project/k-NN. Added backward compatibility (BwC) test coverage for new compression levels and modes, and fixed a critical bug in score-to-radius conversion for the IP metric when using Faiss. These efforts reduce upgrade risk, improve distance accuracy, and strengthen production readiness.
2 Commits • 1 Features
May 1, 2026Month: 2026-05 — Focused on reliability, correctness, and upgrade safety for the k-NN plugin in opensearch-project/k-NN. Added backward compatibility (BwC) test coverage for new compression levels and modes, and fixed a critical bug in score-to-radius conversion for the IP metric when using Faiss. These efforts reduce upgrade risk, improve distance accuracy, and strengthen production readiness.
May 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for opensearch-project/k-NN. Focused on strengthening test coverage for KNN 32x compression defaults to reduce production risk and accelerate safe refactors. Delivered enhanced unit tests covering scalar quantization and varying compression levels. This work reduces risk in production deployments and provides a robust baseline for the 32x compression path. No major bugs fixed this month within the provided scope. Technologies demonstrated include Java unit testing, test-driven development, and CI-friendly test harness improvements. Commit reference: 51b68bf0f48e6bb8ef7f1ee69b33b33859258c53.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for opensearch-project/k-NN. Focused on strengthening test coverage for KNN 32x compression defaults to reduce production risk and accelerate safe refactors. Delivered enhanced unit tests covering scalar quantization and varying compression levels. This work reduces risk in production deployments and provides a robust baseline for the 32x compression path. No major bugs fixed this month within the provided scope. Technologies demonstrated include Java unit testing, test-driven development, and CI-friendly test harness improvements. Commit reference: 51b68bf0f48e6bb8ef7f1ee69b33b33859258c53.
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
Correctness93.2%
Maintainability88.2%
Architecture88.2%
Performance81.2%
AI Usage23.8%
Skills & Technologies
Programming Languages
GradleJavaMarkdownPythonShellYAML
Technical Skills
API DesignAPI IntegrationBackend DevelopmentBuild SystemsCI/CDCode ConsolidationDeprecationDocumentationGitGitHub ActionsGradleIntegration TestingJavaJava DevelopmentKNN algorithms
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