Franklin Nunez is a Senior Software Engineer based in Seattle with five years of hands-on experience building and refining backend systems, particularly for cloud speech and conversational AI samples. He has contributed to high-profile Google Cloud client libraries and samples—migrating codebases to Speech API v2, adding profanity filtering and multi-region support, and improving Dialogflow Java/Kotlin examples—demonstrating both engineering rigor and attention to developer experience. Franklin pairs implementation work with QA and documentation improvements, regularly fixing lint issues, resolving conflicts, and adding system tests to ensure reliability. His open-source activity shows a focus on practical, production-ready samples that help other engineers adopt cloud speech and dialog technologies quickly.
This repository is deprecated. All of its content and history has been moved to googleapis/google-cloud-node.
Role in this project:
Backend Developer & QA Engineer
Contributions:7 reviews, 10 commits, 21 PRs in 1 year 2 months
Contributions summary:Franklin primarily contributed to adding new samples and modifying existing ones for the Google Cloud Speech-to-Text API. This involved implementing features like profanity filtering, multi-region support, and model adaptation, as well as refining existing samples for clarity and usability. They also added system tests to validate the functionality of the new features. The user refactored code and modified build configurations.
Contributions:17 reviews, 10 commits, 24 PRs in 1 year 1 month
Contributions summary:Franklin primarily focused on migrating samples and updating documentation within the Google Cloud Speech API Python client library. Their contributions included migrating samples to speech 2.0.0, fixing linting issues, and addressing code conflicts. The user also updated documentation, specifically related to setting up the project, and introduced a new sample for profanity filtering and a multi-region sample.
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