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Builds and maintains Speechify’s cross-platform SDK and cloud services in Kotlin, optimizing parsing and loading for an AI-powered audio information platform.
Builds and maintains Speechify’s core SDKs and backend services in Kotlin, optimizing parsing and cloud functions to enhance cross-platform user experiences.
Build and maintain Speechify’s core SDKs and backend services in Kotlin to power cross-platform audio experiences, optimizing parsing and loading for millions of users.
Build and lead the native Windows desktop app using WinUI/C#/XAML, ensuring performance, accessibility, and cross-version compatibility for millions of users.
Build and lead Speechify’s native Windows desktop app using WinUI, C#, and XAML, ensuring high performance, accessibility, and cross-version compatibility for millions of users.
Build and lead the Windows desktop app using WinUI, C#, and C++ to deliver a fast, accessible text-to-speech experience for millions of users.
Build and lead Speechify’s native Windows desktop app using WinUI, C#, and C++ to deliver fast, accessible text-to-speech for millions of users.
Build and lead the native Windows desktop app using WinUI, C#, and C++ to deliver a fast, accessible text-to-speech experience for millions of users.
Build and lead the native Windows desktop app using WinUI, C#, XAML, and C++ to deliver accessible, high-performance text-to-speech software for millions of users.
Build and maintain Speechify’s native Windows desktop app using WinUI, C#, and XAML, ensuring performance, accessibility, and cross-version compatibility for millions of users.
Build and scale Speechify’s petabyte-scale data pipeline for AI model training, integrating web crawlers, GCP infrastructure, and Terraform to collect and process audio/text data.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for training next-gen text-to-speech models on GCP with Terraform.
Builds and optimizes petabyte-scale data pipelines for AI model training, focusing on audio data collection, cloud infrastructure (GCP/Terraform), and cost-efficient workflows to fuel Speechify’s text-to-speech AI.
Build and scale Speechify’s data infrastructure to collect and process petabyte-scale audio datasets for training AI text-to-speech models.
Builds and optimizes petabyte-scale data pipelines to fuel AI models by sourcing audio data, managing cloud infrastructure (GCP/Terraform), and collaborating with researchers to improve cost/quality tradeoffs for Speechify’s text-to-speech products.
Build and scale Speechify’s data infrastructure to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
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