
Over 11 months, contributed to juspay/clairvoyance by building and enhancing voice agent, analytics, and deployment systems using Python, FastAPI, and Docker. Developed features such as centralized logging, multi-provider speech-to-text integration, IVR voicebot flows, and dynamic LLM configuration playgrounds, focusing on observability, reliability, and production readiness. Implemented session-based analytics, inbound/outbound telephony support, and robust deployment orchestration, while enforcing structured response schemas for security and compliance. Addressed bugs affecting currency handling and system stability, and improved data quality through analytics enhancements and real-time tracking. Work emphasized backend development, asynchronous programming, and seamless integration across cloud and telephony platforms.
Monthly work summary for 2026-04 focused on delivering customer-facing features and reinforcing system reliability in juspay/clairvoyance. Implemented daily recording capability, introduced a dynamic LLM configuration playground for safe testing and experimentation, and enforced a structured response schema for global functions to improve reliability and security.
Monthly work summary for 2026-04 focused on delivering customer-facing features and reinforcing system reliability in juspay/clairvoyance. Implemented daily recording capability, introduced a dynamic LLM configuration playground for safe testing and experimentation, and enforced a structured response schema for global functions to improve reliability and security.
March 2026 monthly summary for juspay/clairvoyance focusing on reliability, analytics, and real-time interaction improvements. Delivered end-to-end enhancements across call establishment, IVR UX, inbound/outbound analytics, data export, and mid-conversation state updates. These changes improve operational visibility, decision-making speed, and customer experience while showcasing backend refactoring, analytics acceleration, and asynchronous processing capabilities.
March 2026 monthly summary for juspay/clairvoyance focusing on reliability, analytics, and real-time interaction improvements. Delivered end-to-end enhancements across call establishment, IVR UX, inbound/outbound analytics, data export, and mid-conversation state updates. These changes improve operational visibility, decision-making speed, and customer experience while showcasing backend refactoring, analytics acceleration, and asynchronous processing capabilities.
February 2026 summary for juspay/clairvoyance focused on production readiness, reliability, and analytics. Delivered an IVR Voicebot System with Plivo/Exotel inbound integration (unified endpoint for inbound and IVR, token-based webhook authentication, enriched prompts), migrated deployment to automatic production accounts, improved startup resilience by removing mem0ai dependencies when absent, and enhanced analytics + debugging capabilities (Lead Status Analytics with pagination/search and Conversation Flow Node Traversal Tracking). Additional improvements include Soniox STT context template configuration and phone number normalization to standardize data handling. These changes reduce downtime, improve merchant insights, and accelerate feature delivery with robust production readiness.
February 2026 summary for juspay/clairvoyance focused on production readiness, reliability, and analytics. Delivered an IVR Voicebot System with Plivo/Exotel inbound integration (unified endpoint for inbound and IVR, token-based webhook authentication, enriched prompts), migrated deployment to automatic production accounts, improved startup resilience by removing mem0ai dependencies when absent, and enhanced analytics + debugging capabilities (Lead Status Analytics with pagination/search and Conversation Flow Node Traversal Tracking). Additional improvements include Soniox STT context template configuration and phone number normalization to standardize data handling. These changes reduce downtime, improve merchant insights, and accelerate feature delivery with robust production readiness.
January 2026: Delivered three major capabilities for clairvoyance that expand omnichannel reach, improve data quality, and preserve existing behavior by default. Key outcomes include execution_mode-based tracking, web-based voice via Daily, and inbound handling with Exotel, all complemented by analytics enhancements and reliable retry logic.
January 2026: Delivered three major capabilities for clairvoyance that expand omnichannel reach, improve data quality, and preserve existing behavior by default. Key outcomes include execution_mode-based tracking, web-based voice via Daily, and inbound handling with Exotel, all complemented by analytics enhancements and reliable retry logic.
December 2025: Delivered Breeze-buddy Editor Flows integration for juspay/clairvoyance, enabling simultaneous frontend and backend deployment execution. Implemented as a focused change (commit 88519caded0971e52446527663ed7ff59e5c1408), this feature improves release throughput and reduces deployment friction. No major bugs were reported for the month. Overall impact: faster, more reliable releases with improved cross-team collaboration and deployment tooling capabilities. Technologies/skills demonstrated: feature integration, deployment orchestration, repository-level changes with precise commits, and cross-functional coordination.
December 2025: Delivered Breeze-buddy Editor Flows integration for juspay/clairvoyance, enabling simultaneous frontend and backend deployment execution. Implemented as a focused change (commit 88519caded0971e52446527663ed7ff59e5c1408), this feature improves release throughput and reduces deployment friction. No major bugs were reported for the month. Overall impact: faster, more reliable releases with improved cross-team collaboration and deployment tooling capabilities. Technologies/skills demonstrated: feature integration, deployment orchestration, repository-level changes with precise commits, and cross-functional coordination.
November 2025 monthly summary for juspay/clairvoyance: Implemented contextual time-based analytics for Soniox v3 model with context support, new data structures, and time-based aggregation logic. The feature enhances processing efficiency and accuracy of voice data outputs, laying the groundwork for richer time-series analytics and scalable analytics pipelines.
November 2025 monthly summary for juspay/clairvoyance: Implemented contextual time-based analytics for Soniox v3 model with context support, new data structures, and time-based aggregation logic. The feature enhances processing efficiency and accuracy of voice data outputs, laying the groundwork for richer time-series analytics and scalable analytics pipelines.
October 2025 monthly summary for juspay/clairvoyance: Delivered a critical currency handling bug fix in the Update Offer flow. Fixed an issue where the update offer tool could fail due to an incorrect currency payload by defaulting currency to INR, ensuring correct operation with the expected currency across offers. This change, implemented in commit 82f7c0fab33a8b8b31b34a9a0a65a9040326ee76, improves pricing accuracy and reduces production risk in multi-currency scenarios.
October 2025 monthly summary for juspay/clairvoyance: Delivered a critical currency handling bug fix in the Update Offer flow. Fixed an issue where the update offer tool could fail due to an incorrect currency payload by defaulting currency to INR, ensuring correct operation with the expected currency across offers. This change, implemented in commit 82f7c0fab33a8b8b31b34a9a0a65a9040326ee76, improves pricing accuracy and reduces production risk in multi-currency scenarios.
September 2025 monthly summary: Delivered targeted enhancements to STT flexibility and UX feedback for clairvoyance, with a focus on business value and deployment resilience. Implemented multi-provider STT support (OpenAI Whisper managed via env var for MIA, plus Deepgram and Soniox) and standardized STT model usage to improve transcription accuracy and simplify deployment across environments. Enforced language handling policies to reduce transcription errors (English for Sana, multilingual for other voice agents) while maintaining inclusive support. Introduced an optional tool-processing sound cue, configurable via environment variables, with fallbacks to existing text-to-speech phrases if the sound asset is unavailable or the feature is disabled, improving user feedback during tool calls. These changes enable backend provider swaps with minimal risk and provide clearer real-time cues during operations, reducing runtime friction for agents and end-users.
September 2025 monthly summary: Delivered targeted enhancements to STT flexibility and UX feedback for clairvoyance, with a focus on business value and deployment resilience. Implemented multi-provider STT support (OpenAI Whisper managed via env var for MIA, plus Deepgram and Soniox) and standardized STT model usage to improve transcription accuracy and simplify deployment across environments. Enforced language handling policies to reduce transcription errors (English for Sana, multilingual for other voice agents) while maintaining inclusive support. Introduced an optional tool-processing sound cue, configurable via environment variables, with fallbacks to existing text-to-speech phrases if the sound asset is unavailable or the feature is disabled, improving user feedback during tool calls. These changes enable backend provider swaps with minimal risk and provide clearer real-time cues during operations, reducing runtime friction for agents and end-users.
August 2025 — juspay/clairvoyance: Implemented end-to-end analytics and STT enhancements for the voice agent to improve observability, reliability, and provider flexibility. Key investments include session-scoped analytics with sessionId propagation to analytics and Breeze API; initialization of session-scoped analytics; added request_id support for end-to-end tracing; dynamic STT support for AssemblyAI and OpenAI with refactored service selection; VAD parameter handling improvements and log filtering. Also fixed UI/analytics propagation bugs to ensure accurate metrics.
August 2025 — juspay/clairvoyance: Implemented end-to-end analytics and STT enhancements for the voice agent to improve observability, reliability, and provider flexibility. Key investments include session-scoped analytics with sessionId propagation to analytics and Breeze API; initialization of session-scoped analytics; added request_id support for end-to-end tracing; dynamic STT support for AssemblyAI and OpenAI with refactored service selection; VAD parameter handling improvements and log filtering. Also fixed UI/analytics propagation bugs to ensure accurate metrics.
July 2025: Enhanced analytics, offer management, and data reliability for juspay/clairvoyance. Implemented Langfuse tracing for voice agent analytics (user/session/tags) with IST/UTC timezone handling and refined analytics dimensions. Added create_euler_offer with validation, date formatting, and robust API payloads. Fixed system prompt timing and tool description issues, and corrected minimum order amount defaults. Expanded analytics scope and improved logging and error visibility.
July 2025: Enhanced analytics, offer management, and data reliability for juspay/clairvoyance. Implemented Langfuse tracing for voice agent analytics (user/session/tags) with IST/UTC timezone handling and refined analytics dimensions. Added create_euler_offer with validation, date formatting, and robust API payloads. Fixed system prompt timing and tool description issues, and corrected minimum order amount defaults. Expanded analytics scope and improved logging and error visibility.
June 2025: Delivered critical observability and tracing enhancements for juspay/clairvoyance, strengthening production visibility and debugging efficiency. Implemented a centralized Logging System with enhanced observability, consolidating logging setup, standardizing formatting, enabling full-payload logging, and ensuring correct timezone handling. Added Langfuse tracing via OpenTelemetry to capture and view prompts and responses within the Automatic Voice Agent workflow. Also performed observability hardening by fixing logger usage across the repository and correcting trace naming to ensure reliable data. These changes improved end-to-end traceability, reduced incident investigation time, and enabled data-driven improvements to the conversation flow.
June 2025: Delivered critical observability and tracing enhancements for juspay/clairvoyance, strengthening production visibility and debugging efficiency. Implemented a centralized Logging System with enhanced observability, consolidating logging setup, standardizing formatting, enabling full-payload logging, and ensuring correct timezone handling. Added Langfuse tracing via OpenTelemetry to capture and view prompts and responses within the Automatic Voice Agent workflow. Also performed observability hardening by fixing logger usage across the repository and correcting trace naming to ensure reliable data. These changes improved end-to-end traceability, reduced incident investigation time, and enabled data-driven improvements to the conversation flow.

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