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Godstime User

@godstimeuser

Senior software engineer specializing in AWS distributed systems and neural text-to-speech platforms with production-grade CI/CD.

United States

Message

What I'm looking for

I’m looking for a team where I can build reliable AWS backend systems and neural speech experiences, improve production latency and quality, and own end-to-end automation with CI/CD, monitoring, and scalable event-driven architectures.

I’m a Senior Software Engineer with 8 years of experience designing distributed systems and cloud-native platforms on AWS. I’ve built neural text-to-speech and speech synthesis solutions powered by Amazon Polly, combining AI model workflows with reliable, automated deployment infrastructure.

At Amazon, I architected and optimized backend services using AWS Lambda, S3, EC2, API Gateway, and event-driven systems with EventBridge, SQS, SNS, and Step Functions to handle high-volume voice generation requests across regions. I improved synthesis quality by fine-tuning neural vocoder models with TensorFlow and PyTorch and used SageMaker to evaluate performance and drive multilingual pipelines. I also strengthened operational excellence through monitoring with CloudWatch/X-Ray, reduced SynthesizeSpeech latency using CloudFront and Aurora, and built real-time engineering tools with React.js, Redux, and AWS AppSync.

Experience

Work history, roles, and key accomplishments

Current

Senior SDE (L6)

Current

Amazon

Jan 2023 - Present (3 years 5 months)

Architected and optimized serverless backend services for voice synthesis using AWS Lambda, S3, EC2, and API Gateway to improve availability and scalability across regions. Built event-driven workflows with EventBridge, SQS, SNS, and Step Functions and implemented AI-ready CI/CD pipelines with CodePipeline/CodeBuild/CloudFormation to deploy multilingual neural voice capabilities.

AWS Lambda API Gateway EventBridge SQS SNS Step Functions Code Pipeline Sagemaker TensorFlow PyTorch

SDE II (L5)

Amazon

Mar 2019 - Dec 2022 (3 years 9 months)

Improved reliability for Amazon Polly using Auto Scaling, EC2, and RDS to deliver fault-tolerant speech synthesis. Implemented monitoring and tracing with CloudWatch, AWS X-Ray, and CloudTrail, and reduced SynthesizeSpeech latency using CloudFront and Amazon Aurora while integrating new voices and languages.

EC2 RDS Cloudwatch AWS X Ray CloudTrail Cloudfront Amazon Aurora

Software Engineer (SDE)

Amazon

Jun 2018 - Feb 2019 (8 months)

Developed CI/CD automation for AWS CodePipeline using CodeBuild, CodeDeploy, and CodeCommit, and created CloudFormation scripts to support distributed release workflows. Supported automated testing for AI-driven applications with AWS Device Farm and Appium and built AWS Console UI features for managing Polly text-to-speech with AngularJS.