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Prateek Sharma

PROFILE

Prateek Sharma

Worked on enhancing observability and analytics for the meilisearch/meilisearch-go and meilisearch/meilisearch-java repositories by introducing new storage and embedding metrics to both Go and Java clients. Implemented features such as RawDocumentDbSize, AvgDocumentSize, and embedded document counts, updating JSON serialization to support these additions and ensure cross-language metric parity. Focused on backend development, API design, and data modeling to enable unified capacity planning and analytics. Also updated test data and regression tests in Go to validate new statistics, improving test coverage and reliability. Demonstrated a methodical approach to cross-language feature delivery and test-driven validation in a modern CI workflow.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

5Total
Bugs
1
Commits
5
Features
2
Lines of code
72
Activity Months2

Your Network

32 people

Work History

May 2025

1 Commits

May 1, 2025

2025-05 monthly summary focused on index statistics validation in the meilisearch-go workload. Key features delivered: updated test data to reflect newly tracked statistics for index performance. Major bugs fixed: GetStats tests updated to include RawDocumentDbSize and AvgDocumentSize, ensuring test data aligns with the new metrics. Overall impact and accomplishments: improved accuracy of statistics reporting, increased confidence in test coverage, and reduced release risk by keeping statistics-related tests up to date. Technologies/skills demonstrated: Go, test data management, regression testing, and commit-based traceability in a modern CI workflow.

March 2025

4 Commits • 2 Features

Mar 1, 2025

March 2025 monthly summary for meilisearch client repositories. Key features delivered: Stats metrics enhancements for storage and embeddings across Go and Java clients. In Go, added RawDocumentDbSize, AvgDocumentSize, and counts for embedded documents/embeddings in StatsIndex, plus usedDatabaseSize in Stats, with changes to JSON encoding/decoding to support these metrics. In Java, extended Stats and IndexStats to include usedDatabaseSize, rawDocumentDbSize, avgDocumentSize, numberOfEmbeddedDocuments, and numberOfEmbeddings, enabling deeper visibility into storage and indexing efficiency. Major bugs fixed: No explicit major bug fixes reported in the provided data for March 2025. Focus remained on observability and metrics enhancements. Overall impact and accomplishments: Enhanced observability and capacity planning for storage and embeddings across both Go and Java clients, enabling data-driven resource planning, optimization opportunities, and more reliable analytics. Established cross-language metric parity for consistent reporting and analytics across environments. Technologies/skills demonstrated: Cross-language metrics design and implementation (Go and Java clients), JSON encoding/decoding adjustments for new metrics, statistics/index statistics evolution, and commit-level traceability (instrumentation and analytics-focused work).

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance88.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

GoJava

Technical Skills

API DesignAPI DevelopmentBackend DevelopmentData ModelingData StructuresGoGo DevelopmentJava DevelopmentTesting

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

meilisearch/meilisearch-go

Mar 2025 May 2025
2 Months active

Languages Used

Go

Technical Skills

API DevelopmentBackend DevelopmentData StructuresGo DevelopmentGoTesting

meilisearch/meilisearch-java

Mar 2025 Mar 2025
1 Month active

Languages Used

Java

Technical Skills

API DesignData ModelingJava Development