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Arvind Ram Singh Kishore

PROFILE

Arvind Ram Singh Kishore

Arvind Suna developed and documented key features for the VapiAI/docs repository, focusing on enhancing developer experience and user onboarding. He delivered comprehensive Realtime API documentation and migration guides, clarifying OpenAI’s speech-to-speech model capabilities and providing practical examples in Python, TypeScript, and JSON. Arvind also built custom analytics dashboards, enabling real-time insights through drag-and-drop interfaces and actionable data visualizations. His technical writing and API integration skills ensured that Evals documentation and quickstart guides were thorough, supporting advanced testing and troubleshooting. The work demonstrated depth in both technical content and usability, reducing integration questions and accelerating adoption for developers and users.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
3,427
Activity Months2

Your Network

51 people

Work History

October 2025

2 Commits • 2 Features

Oct 1, 2025

Summary for 2025-10: Focused on delivering user-facing analytics features and comprehensive Evals documentation in VapiAI/docs. Two new features were shipped, enhancing observability and user onboarding. No major bugs fixed this month. The work improved business value by enabling real-time decision-making, faster onboarding, and reduced support needs. Skills demonstrated include high-quality documentation, cross-team collaboration, and strong commit hygiene.

September 2025

1 Commits • 1 Features

Sep 1, 2025

Month: 2025-09 — Focused on advancing developer experience and adoption of the Realtime API through comprehensive documentation and migration guidance. Delivered a feature-rich documentation update that clarifies OpenAI's Realtime model capabilities, voice options, configuration, best practices, and migration steps from standard STT/TTS, with practical end-to-end examples in JSON, TypeScript, and Python to enable low-latency, speech-to-speech workflows within the VapiAI/docs repository.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance86.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

JSONMarkdownPythonTypeScriptYAML

Technical Skills

API DocumentationAPI IntegrationDocumentationProduct DocumentationSpeech-to-Speech ModelsTechnical Writing

Repositories Contributed To

1 repo

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

VapiAI/docs

Sep 2025 Oct 2025
2 Months active

Languages Used

JSONMarkdownPythonTypeScriptYAML

Technical Skills

API IntegrationDocumentationSpeech-to-Speech ModelsAPI DocumentationProduct DocumentationTechnical Writing