Vanessa Pyne

S. Software Engineer at Daily.co - We're hiring!

New Orleans, Louisiana, United States
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Summary

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Vanessa Pyne is a senior software engineer with 12 years of experience blending computer graphics, video processing, and backend systems, currently building real-time media tooling at Daily.co from New Orleans. With a BFA in film/animation and formal C++ training, she uniquely bridges creative post-production workflows and production-grade software engineering. Her open-source work includes integrating NVIDIA Riva for TTS/STT and hardening multimodal conversational AI pipelines, reflecting expertise in MLOps and resilient API integration. Vanessa thrives on interesting technical challenges across diverse environments, pairing hands-on implementation with a strong foundation in video/ffmpeg and WebGL.
code12 years of coding experience
job10 years of employment as a software developer
bookIntroduction to C/C++ and Intermediate C++ Programming, Introduction to C/C++ and Intermediate C++ Programming at NYU School of Professional Studies
bookBFA, film / animation / video, BFA, film / animation / video at Rhode Island School of Design
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Stackoverflow

Stats
101reputation
4kreached
2answers
1question
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Github Skills (15)

text-to-speech10
voice10
python10
ai10
async9
asyncio9
api9
asynchronous9
apim9
exception-handling8
rgb6
yuv6
opengl-es6
ios6
selenium-webdriver6

Programming languages (15)

MDXJavaC++CRustMakefileHTMLJupyter Notebook

Github contributions (5)

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pipecat-ai/pipecat

May 2024 - Feb 2025

Open Source framework for voice and multimodal conversational AI
Role in this project:
userBack-end Developer & MLOps Engineer
Contributions:25 reviews, 25 PRs, 49 pushes in 9 months
Contributions summary:Vanessa contributed to the development of the pipecat project, focusing on integrating NVIDIA Riva services for text-to-speech (TTS) and speech-to-text (STT) functionalities. They implemented and refined Riva services by modifying existing code and incorporating new features, including the use of function IDs. Additionally, the user addressed exceptions within the pipeline's internal processing to ensure robust error handling. These changes involved modifications to the core processing logic and integration with external APIs.
aichatbot-frameworkchatbotsreal-timevoice
Ara repo template - documentation, github files, Travis CI and ESLint configs
Contributions:1 release, 10 PRs, 21 pushes in 1 year 10 months
eslintconfigseslint-configsararepo-template
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