juspay/clairvoyance
Aug 2025 – Sep 2025
2 Months active
Languages Used
Environment VariablesMarkdownPythonDockerfileShell
Technical Skills
AI IntegrationAudio ProcessingBackend DevelopmentConfiguration ManagementDocumentationPrompt Engineering
sahil.tyagi
PROFILE
Sahil.tyagi
Sahil Tyagi enhanced the juspay/clairvoyance voice agent by delivering features that improved audio quality, transcription accuracy, and developer experience. He integrated AIC and Krisp noise suppression, adding configurable options for license, enhancement level, and voice gain, which elevated end-user audio clarity. Using Python and Docker, Sahil refactored system prompts and workflows to support more accurate speech-to-text and concise AI assistant responses. He also addressed tool call traceability by integrating with Pipecat’s ConversationContextProvider and resolved Docker-based NLP stability issues. His work demonstrated depth in backend development, configuration management, and prompt engineering, resulting in a more reliable and maintainable system.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
13Total
Bugs
1
Commits
13
Features
5
Lines of code
730
Activity Months2
Your Network
123 people
Work History
September 2025
10 Commits • 2 Features
Sep 1, 20252025-09: Delivered audio quality enhancements for clairvoyance by integrating AIC filter and Krisp noise suppression with configurable license, enhancement level, voice gain, and noise gate. Updated environment and dependencies; added logs to verify Krisp installation and streamlined CI by removing Dockerfile Krisp verification. Refined AI assistant prompts for concise, direct responses with optional context to improve UX. Fixed tool call trace nesting in the voice agent’s LLM spy processor by integrating with Pipecat’s ConversationContextProvider, improving traceability. Resolved Docker/NLP stability issues by fixing nltk errors and deprecated imports. Overall, these changes improved end-user audio experience, system reliability, and maintainability, enabling faster debugging and clearer business impact.
10 Commits • 2 Features
Sep 1, 20252025-09: Delivered audio quality enhancements for clairvoyance by integrating AIC filter and Krisp noise suppression with configurable license, enhancement level, voice gain, and noise gate. Updated environment and dependencies; added logs to verify Krisp installation and streamlined CI by removing Dockerfile Krisp verification. Refined AI assistant prompts for concise, direct responses with optional context to improve UX. Fixed tool call trace nesting in the voice agent’s LLM spy processor by integrating with Pipecat’s ConversationContextProvider, improving traceability. Resolved Docker/NLP stability issues by fixing nltk errors and deprecated imports. Overall, these changes improved end-user audio experience, system reliability, and maintainability, enabling faster debugging and clearer business impact.
September 2025
August 2025
3 Commits • 3 Features
Aug 1, 2025August 2025 (juspay/clairvoyance) delivered user-centric improvements to TTS naturalness, STT accuracy, and developer onboarding through documentation and prompts refactor. The work enhances transcription quality, voice output, and observability, driving better customer interactions and faster iteration for future features.
August 2025
3 Commits • 3 Features
Aug 1, 2025August 2025 (juspay/clairvoyance) delivered user-centric improvements to TTS naturalness, STT accuracy, and developer onboarding through documentation and prompts refactor. The work enhances transcription quality, voice output, and observability, driving better customer interactions and faster iteration for future features.
Activity
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Quality Metrics
Correctness84.6%
Maintainability83.0%
Architecture78.4%
Performance70.8%
AI Usage41.6%
Skills & Technologies
Programming Languages
DockerfileEnvironment VariablesMarkdownPythonShell
Technical Skills
AI IntegrationAI Prompt EngineeringAPI IntegrationAudio ProcessingBackend DevelopmentCI/CDCloud InfrastructureCode RefactoringConfiguration ManagementDebuggingDependency ManagementDevOpsDistributed TracingDockerDockerfile Management
Repositories Contributed To
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