Godstime User
@godstimeuser
Senior software engineer specializing in AWS distributed systems and neural text-to-speech platforms with production-grade CI/CD.
What I'm looking for
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
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.
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.
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.
Education
Degrees, certifications, and relevant coursework
University of California San Diego
Bachelor of Science in Computer Science, Computer Science
2015 - 2018
Earned a Bachelor’s degree in Computer Science at the University of California San Diego from 2015 to 2018.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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