
Over six months, contributed to basetenlabs/truss-examples and livekit/agents by building and integrating advanced audio processing features. Developed real-time Text-to-Speech and Speech-to-Text capabilities using Python, WebSockets, and YAML, enabling live audio streaming and transcription for user-facing applications. Enhanced model workflows by integrating DeepSpeed for optimized inference and upgrading ASR models for improved accuracy and broader input support. Delivered plugin-based solutions for LiveKit agents, aligning with Baseten APIs and supporting scalable deployment. Focused on production-ready deployment, configuration management, and asynchronous programming, consistently delivering new features that improved performance, reduced maintenance overhead, and enabled robust, real-time audio experiences.
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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