
Het Trivedi developed and integrated advanced audio processing and speech technologies across the basetenlabs/truss-examples and livekit/agents repositories. Over six months, Het delivered features such as real-time Text-to-Speech via WebSocket APIs, DeepSpeed-enabled streaming for audio generation, and end-to-end ASR and TTS plugin integration for LiveKit agents. Using Python, YAML, and Docker, Het focused on asynchronous programming, model optimization, and API integration to streamline deployment and improve inference speed. The work emphasized production-ready solutions, including configuration management and scalable workflows, resulting in robust, low-latency audio processing pipelines that enhanced both developer productivity and end-user experience.
February 2026 monthly summary for basetenlabs/truss-examples: Delivered end-to-end audio processing integration featuring Qwen 3 ASR 1.7B and Voxtral, with example usage, deployment/configuration, websocket server setup, and audio streaming capabilities. Focused on production-ready integration to enable real-time transcription and streaming workloads. No major bugs reported this month; maintained stability during integration and validation.
February 2026 monthly summary for basetenlabs/truss-examples: Delivered end-to-end audio processing integration featuring Qwen 3 ASR 1.7B and Voxtral, with example usage, deployment/configuration, websocket server setup, and audio streaming capabilities. Focused on production-ready integration to enable real-time transcription and streaming workloads. No major bugs reported this month; maintained stability during integration and validation.
July 2025 monthly summary for basetenlabs/truss-examples: Delivered real-time Text-to-Speech (TTS) via WebSocket API enabling live audio generation for user-facing apps and real-time communication. Implemented Python components to manage WebSocket connections, stream audio data in real time, and process input text; updated deployment and configuration to support production rollout. This work includes integration with the Orpheus WebSocket workflow as reflected in the respective commit.
July 2025 monthly summary for basetenlabs/truss-examples: Delivered real-time Text-to-Speech (TTS) via WebSocket API enabling live audio generation for user-facing apps and real-time communication. Implemented Python components to manage WebSocket connections, stream audio data in real time, and process input text; updated deployment and configuration to support production rollout. This work includes integration with the Orpheus WebSocket workflow as reflected in the respective commit.
June 2025 monthly summary for livekit/agents. Delivered a Baseten STT/TTS integration plugin enabling LiveKit agents to leverage Baseten AI models for audio processing. Implemented Python modules for STT and TTS, plus configuration and versioning scaffolding to support plugin deployment. Established groundwork for Whisper-based STT improvements and alignment with Baseten API, setting the stage for scalable, AI-assisted agent interactions.
June 2025 monthly summary for livekit/agents. Delivered a Baseten STT/TTS integration plugin enabling LiveKit agents to leverage Baseten AI models for audio processing. Implemented Python modules for STT and TTS, plus configuration and versioning scaffolding to support plugin deployment. Established groundwork for Whisper-based STT improvements and alignment with Baseten API, setting the stage for scalable, AI-assisted agent interactions.
Monthly summary for May 2025 focusing on key business value and technical achievements. Delivered a major WhisperX upgrade with enhanced input handling and ASR configurations for basetenlabs/truss-examples, resulting in improved transcription accuracy, broader data ingestion capabilities, and streamlined client integration.
Monthly summary for May 2025 focusing on key business value and technical achievements. Delivered a major WhisperX upgrade with enhanced input handling and ASR configurations for basetenlabs/truss-examples, resulting in improved transcription accuracy, broader data ingestion capabilities, and streamlined client integration.
January 2025 monthly summary: Delivered DeepSpeed-enabled XTTS streaming integration for basetenlabs/truss-examples, optimizing accelerator usage and enabling DeepSpeed during model loading to improve inference speed and robustness for audio generation. No critical bugs fixed this month; focus on performance, scalability, and business value.
January 2025 monthly summary: Delivered DeepSpeed-enabled XTTS streaming integration for basetenlabs/truss-examples, optimizing accelerator usage and enabling DeepSpeed during model loading to improve inference speed and robustness for audio generation. No critical bugs fixed this month; focus on performance, scalability, and business value.
In 2024-11, delivered an essential update to the XTTS V2 model workflow within basetenlabs/truss-examples, streamlining TTS generation and reducing maintenance overhead. This release focused on dependency alignment, simplified generation logic, and removal of legacy checks, delivering tangible business value and improved developer productivity.
In 2024-11, delivered an essential update to the XTTS V2 model workflow within basetenlabs/truss-examples, streamlining TTS generation and reducing maintenance overhead. This release focused on dependency alignment, simplified generation logic, and removal of legacy checks, delivering tangible business value and improved developer productivity.

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