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Rishi Surana

PROFILE

Rishi Surana

Rohit Surana enhanced the Labelbox/labelbox-python repository by developing a unified temporal annotations API that streamlines annotation handling across media types, improving both interface consistency and NDJSON serialization. He refactored core Python SDK components to enforce time unit precision, stabilized environment dependencies, and reorganized code for maintainability. Leveraging Python, Pydantic, and Jupyter Notebooks, Rohit introduced support for complex audio annotations with multiple frame ranges and nested classifications, while updating documentation and tests to ensure reliability. His work addressed deprecated APIs, improved data pipeline robustness, and accelerated labeling workflows, demonstrating depth in backend development, API design, and machine learning operations.

Overall Statistics

Feature vs Bugs

85%Features

Repository Contributions

43Total
Bugs
2
Commits
43
Features
11
Lines of code
15,247
Activity Months2

Work History

October 2025

14 Commits • 2 Features

Oct 1, 2025

October 2025 monthly summary: Delivered two major features in labelbox-python: a Unified Temporal Annotations API across media types with a simplified, unified interface and improved NDJSON serialization, plus API cleanup by removing deprecated FrameLocation, grouping by name, and streamlining exports. Added Audio Temporal Annotations Enhancements to support multiple frame ranges per audio annotation and nested classifications, with improved audio serialization and editor notebooks/test coverage. All work was accompanied by linting, docs, and tests to raise code quality and maintainability. These changes improve data pipeline reliability, cross-media consistency, and speed up labeling workflows, delivering measurable business value for data annotation pipelines.

September 2025

29 Commits • 9 Features

Sep 1, 2025

September 2025 performance summary (Labelbox/labelbox-python): Focused on stabilizing the core Python SDK, improving time-related API consistency, and strengthening code quality and maintainability to reduce release risk and accelerate downstream integration.

Activity

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Quality Metrics

Correctness92.0%
Maintainability92.8%
Architecture89.4%
Performance81.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

Jupyter NotebookPython

Technical Skills

API DesignAPI IntegrationAlgorithm DesignAnnotation ProcessingAudio ProcessingBackend DevelopmentBug FixCI/CDCode CleanupCode OrganizationCode RefactoringData AnnotationData ModelingData SerializationDocumentation

Repositories Contributed To

1 repo

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

Labelbox/labelbox-python

Sep 2025 Oct 2025
2 Months active

Languages Used

Jupyter NotebookPython

Technical Skills

API DesignAlgorithm DesignAnnotation ProcessingAudio ProcessingBackend DevelopmentBug Fix

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